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<!--StartFragment--><p class="MsoNormal" align="center" style="text-align:center;mso-pagination:none;
mso-layout-grid-align:none;text-autospace:none"><b class=""><span lang="EN-US" style="font-size: 12pt;" class="">PHD PROGRAM in<o:p class=""></o:p></span></b></p><p class="MsoNormal" align="center" style="text-align:center;mso-pagination:none;
mso-layout-grid-align:none;text-autospace:none"><b class=""><span lang="EN-US" style="font-size: 12pt;" class="">TRANSLATIONAL
NEUROSCIENCES AND NEUROTECHNOLOGIES<o:p class=""></o:p></span></b></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><span lang="EN-US" style="font-size: 12pt;" class=""> </span></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><span lang="EN-US" style="font-size: 12pt;" class="">The Center
for Translational Neurophysiology of Speech and Communication (CTNSC) at
the Istituto Italiano di Tecnologia (IIT) is looking for up to 4 highly
motivated, full-time PhD students to work in the core research areas of the
Center. <o:p class=""></o:p></span></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><span style="font-size: 12pt;" class="">At the CTNSC we focus our efforts in two
integrated directions. On one side we are studying how the brain builds
communicative and linguistic representations. On the other side we are
designing new brain interfaces, specifically conceived for human use, to record
and computationally decode neural signals. Speech and communication are of
central importance for us, because we believe that many paralyzing pathologies
require, at first, the restoring of an efficient communicative flow between the
patient and the environment. Therefore, our research goal is to advance knowledge
on brain functioning to help building the next generation of brain-computer
interfaces.</span><span style="font-size: 12pt;" class=""> </span></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><b class=""><span lang="EN-US" style="font-size: 12pt;" class="">We
are looking for outstanding students, with a specific interest on translational
research and willing to contribute to the development of the future of human-machine
communication.<o:p class=""></o:p></span></b></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><span lang="EN-US" style="font-size: 12pt;" class=""> </span><span lang="EN-US" style="font-size: 12pt;" class="">The CTNSC is hosted by the Section of
Physiology of the University of Ferrara, one of the oldest in Italy (founded in
1391). The identity of the University of Ferrara is rooted in the historical
and cultural tradition that welcomed and formed illustrious figures such as
Copernico and Paracelso. In terms of its size, facilities, quality and quantity
of education and research, the university is a point of excellence within
Italy. The CTNSC is located in an ancient and prestigious artistic and
historical building in the city center.</span><span style="font-size: 12pt;" class=""> </span></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><span lang="EN-US" style="font-size: 12pt;" class="">The PhD student will work in Ferrara, in an
international and multidisciplinary team including biomedical engineers,
biologists, computer scientists, psychologists and medical doctors. The PhD
positions will cover the following core areas of CTNSC:</span></p><div class=""><br class=""></div><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><b class=""><span lang="EN-US" style="font-size: 12pt;" class="">A)
Improving performance and biocompatibility in brain machine interfaces<o:p class=""></o:p></span></b></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><span lang="EN-US" style="font-size: 12pt;" class="">Long term neurophysiological and Brain
Machine Interface studies require significant improvements in the properties of
chronic electrode implants. The candidate will be involved in the design,
fabrication and test of innovative microelectrode arrays - intracortical and
epicortical - for both recording and stimulation in rats, primates and humans.
Activities will include the development of: variable stiffness biocompatible
polymers for electrode support and insulation, nanomaterials for low noise
electrical interfaces, biocompatible hydrogels for nanomaterial encapsulation
and tissue interface, ultrathin flexible and compliant conductors for wiring.
In-vivo validation will be carried-out within the research team. <o:p class=""></o:p></span></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><u class=""><span lang="EN-US" style="font-size: 12pt;" class="">Techniques:</span></u><span lang="EN-US" style="font-size: 12pt;" class=""> Electrochemical Impedance Spectroscopy/
Chronoamperometry/Cyclic Voltammetry. Electrochemical deposition. Dip coating
and spin coating. Mechanical characterizations. Optical and SEM (scanning
electron microscopy) characterization of surfaces.<o:p class=""></o:p></span></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><u class=""><span lang="EN-US" style="font-size: 12pt;" class="">Requirements:</span></u><span lang="EN-US" style="font-size: 12pt;" class=""> The candidate should have a background in one or more
of the following fields: Material Science, Chemistry, Electrochemistry,
Bioengineering or Physics. Programming experience is highly appreciated.<o:p class=""></o:p></span></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><u class=""><span lang="EN-US" style="font-size: 12pt;" class="">Contacts: </span></u><span lang="EN-US" style="font-size: 12pt;" class="">Dr. Davide Ricci: </span><span lang="EN-US" style="font-size: 12pt;" class=""><a href="mailto:davide.ricci@iit.it" class="">davide.ricci@iit.it</a> - </span><span style="font-size: 12pt;" class="">Dr.
Elisa Castagnola: </span><span style="font-size: 12pt;" class=""><a href="mailto:elisa.castagnola@iit.it" class="">elisa.castagnola@iit.it</a> - </span><span style="font-size: 12pt;" class="">Prof.
Luciano Fadiga: </span><a href="mailto:luciano.fadiga@iit.it" class=""><span style="font-size: 12pt;" class="">luciano.fadiga@iit.it</span></a></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><span style="font-size: 12pt;" class=""> </span></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><b class=""><span lang="EN-US" style="font-size: 12pt;" class="">B)
Functional investigation of innovative neural interfaces<o:p class=""></o:p></span></b></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><span lang="EN-US" style="font-size: 12pt;" class="">Evidences show that using
electrophysiological techniques is possible to extract information about brain
processes and then translate these signals into commands that could be used to
recover the lost capabilities. The purpose of the project is to investigate the
in-vivo performance of novel devices - both in-house developed or obtained from
collaborating laboratories - with a focus on i) enhanced capability to record
neural signals; ii) large charge transfer capability to enhance the stimulation
performance and iii) small size to minimize inflammatory reaction and gliosis. The
candidate will be involved in the development of a stable and functional
interface between living neural tissue and probes in rat model. <o:p class=""></o:p></span></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><u class=""><span lang="EN-US" style="font-size: 12pt;" class="">Techniques:</span></u><span lang="EN-US" style="font-size: 12pt;" class=""> in-vivo single-unit recording and epicortical
recording , histological techniques and
image analysis, microscopy techniques and data analysis. <o:p class=""></o:p></span></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><u class=""><span lang="EN-US" style="font-size: 12pt;" class="">Requirements:</span></u><span lang="EN-US" style="font-size: 12pt;" class=""> The candidate should have a background in one or more
of the following fields: biology, medicine, pharmacology or related
disciplines. Programming experience is appreciated but not mandatory. Familiarity
with electrophysiological and/or microscopy techniques is of advantage.<o:p class=""></o:p></span></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><u class=""><span style="font-size: 12pt;" class="">Contacts: </span></u><span style="font-size: 12pt;" class="">Dr.
Emma Maggiolini: </span><span style="font-size: 12pt;" class=""><a href="mailto:emma.maggiolini@iit.it" class="">emma.maggiolini@iit.it</a> - </span><span style="font-size: 12pt;" class="">Prof.
Luciano Fadiga: </span><a href="mailto:luciano.fadiga@iit.it" class=""><span style="font-size: 12pt;" class="">luciano.fadiga@iit.it</span></a></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><br class=""></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><b class=""><span lang="EN-US" style="font-size: 12pt;" class="">C)
Animal neurophysiology investigation of sensorimotor functions<o:p class=""></o:p></span></b></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><span lang="EN-US" style="font-size: 12pt;" class="">The discovery of mirror and canonical neurons
in monkey premotor and parietal cortex motivated a number of studies on how
sensorimotor transformations in the brain may support understanding of action
performed by conspecifics. This still constitute a fundamental area of research
which is necessary to unravel the basic mechanisms of sensorimotor sharing
during social interaction. The candidate working in this core area will
investigate, in animal models, the neuronal activity of different (motor and
somatosensory) cortical regions, pointing out their topographic organization as
well as their role during observation, planning and execution of particular
motor acts. <o:p class=""></o:p></span></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><u class=""><span lang="EN-US" style="font-size: 12pt;" class="">Techniques:</span></u><span lang="EN-US" style="font-size: 12pt;" class=""> multidisciplinary approach involving behavioral
testing, electrophysiological techniques (intracortical microstimulation,
single-unit recording, field potentials recording, electromyography) and histological
evaluations.<o:p class=""></o:p></span></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><u class=""><span lang="EN-US" style="font-size: 12pt;" class="">Requirements:</span></u><span lang="EN-US" style="font-size: 12pt;" class=""> The candidate must have a background in the
biological fields (biology, medicine, pharmacy and similar). At the end of the
three-year period, the Ph.D. student will obtain deep knowledge and experience
on in vivo neuroscience. <o:p class=""></o:p></span></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><u class=""><span style="font-size: 12pt;" class="">Contacts: </span></u><span style="font-size: 12pt;" class="">Dr.
Riccardo Viaro: </span><span style="font-size: 12pt;" class=""><a href="mailto:riccardo.viaro@iit.it" class="">riccardo.viaro@iit.it</a> - </span><span style="font-size: 12pt;" class="">Prof.
Luciano Fadiga: </span><a href="mailto:luciano.fadiga@iit.it" class=""><span style="font-size: 12pt;" class="">luciano.fadiga@iit.it</span></a></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><br class=""></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><b class=""><span lang="EN-US" style="font-size: 12pt;" class="">D)
Brain- and multimodal signal- based speech recognition<o:p class=""></o:p></span></b></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><span lang="EN-US" style="font-size: 12pt;" class="">Our approach to speech recognition is an
“analysis by synthesis” approach which assumes that in order to recognize
speech we need to understand the causal process (i.e., the speech production
process) that stems from brain activity and, through coordinated movements of
the vocal tract articulators, produces speech sounds. Such approach is largely
motivated by work on speech perception carried out at CTNSC and serves two
goals. The first goal is to build automatic speech recognition systems that, as
humans do, work in very challenging scenarios (e.g., in the so called “cocktail
party” scenario) and are able to learn how to recognize speech without relying
on huge amount of carefully annotated speech data (as opposed to “data hungry”
current recognition systems). The second goal is to recognize speech from one
or more modalities that are within the speech production process, e.g., from
brain signal or from visual and kinematic signals of the face and the vocal
tract. <o:p class=""></o:p></span></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><u class=""><span lang="EN-US" style="font-size: 12pt;" class="">Techniques:</span></u><span lang="EN-US" style="font-size: 12pt;" class=""> Machine learning, deep neural network, multimodal
signal processing.<u class=""> <o:p class=""></o:p></u></span></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><u class=""><span lang="EN-US" style="font-size: 12pt;" class="">Requirements:</span></u><span lang="EN-US" style="font-size: 12pt;" class=""> The successful candidate will have a degree in
computer science bioengineering, physics or related disciplines. A background
in machine learning and in speech and language processing.<o:p class=""></o:p></span></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><u class=""><span style="font-size: 12pt;" class="">Contacts: </span></u><span style="font-size: 12pt;" class="">Dr.
Leonardo Badino: </span><span style="font-size: 12pt;" class=""><a href="mailto:leonardo.badino@iit.it" class="">leonardo.badino@iit.it</a> - </span><span style="font-size: 12pt;" class="">Prof.
Luciano Fadiga: </span><a href="mailto:luciano.fadiga@iit.it" class=""><span style="font-size: 12pt;" class="">luciano.fadiga@iit.it</span></a></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><br class=""></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><b class=""><span lang="EN-US" style="font-size: 12pt;" class="">E)
Human Neurophysiology investigation of speech and communication abilities by
means of micro-electrocorticography<o:p class=""></o:p></span></b></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><span lang="EN-US" style="font-size: 12pt;" class="">Historically, the study of speech processing
has emphasized a strong link between auditory perceptual input and motor
production output. The main aim of this area is to describe the neural systems
involved in this sensorimotor representation linking speech perception and
production. To this purpose, we use high-density surface microelectrodes for
electrocorticography (micro-ECoG) to record electrical signals directly from
the cortical surface in patients during awake surgery for low-grade glioma
resection. Micro-ECoG is an important electrophysiological signal recording
technique that combines high temporal resolution with good spatial localization.<o:p class=""></o:p></span></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><u class=""><span lang="EN-US" style="font-size: 12pt;" class="">Techniques:</span></u><span lang="EN-US" style="font-size: 12pt;" class=""> Micro-ECoG, direct brain electrical stimulation,
functional electrical mapping.<o:p class=""></o:p></span></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><u class=""><span lang="EN-US" style="font-size: 12pt;" class="">Requirements:</span></u><span lang="EN-US" style="font-size: 12pt;" class=""> Applicants are expected to have a degree in
biomedical engineering or basic/applied/health sciences. Requirements include a
knowledge of neural signal processing and/or neuroimaging skills. <o:p class=""></o:p></span></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><u class=""><span style="font-size: 12pt;" class="">Contact: </span></u><span style="font-size: 12pt;" class="">Dr.
Luciano Simone: </span><span style="font-size: 12pt;" class=""><a href="mailto:luciano.simone@iit.it" class="">luciano.simone@iit.it</a> - </span><span style="font-size: 12pt;" class="">Prof.
Luciano Fadiga: </span><a href="mailto:luciano.fadiga@iit.it" class=""><span style="font-size: 12pt;" class="">luciano.fadiga@iit.it</span></a></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><br class=""></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><b class=""><span lang="EN-US" style="font-size: 12pt;" class="">F)
Human Neurophysiology investigation of speech and sensorimotor communication
abilities by means of non-invasive techniques<o:p class=""></o:p></span></b></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><span lang="EN-US" style="font-size: 12pt;" class="">The neural mechanisms underlying speech and sensorimotor
communication abilities, during real-life social encounters are mostly unknown.
In the classic motor control frame of reference, individuals can be conceived
as proactively building models of their action and of their sensory
consequence. During interaction, these sensorimotor models can be extended to
the social space whereby the control signal becomes the negotiated behavior of
other people. The candidate will help in mapping the brain activities responsible
for the emergence of such a shared behavior, in the domain of speech
(phonological level) or action (upper arm movements). These experiments will inform
the next generation of biologically inspired automatic communication
recognition systems, essential to augment natural human-human coordination and
promote the future of efficient human-robot interaction.<o:p class=""></o:p></span></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><u class=""><span lang="EN-US" style="font-size: 12pt;" class="">Techniques: </span></u><span lang="EN-US" style="font-size: 12pt;" class="">Electroencephalography (EEG), Electromyography (EMG), body
motion kinematics (MoCap), Transcranial Magnetic Stimulation (TMS), transcranial
Direct (tDCs) and Alternate (tACs) current stimulation. <o:p class=""></o:p></span></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><u class=""><span lang="EN-US" style="font-size: 12pt;" class="">Requirements:</span></u><span lang="EN-US" style="font-size: 12pt;" class=""> The successful candidate will have a background in
neuroscience, experimental psychology, computer science or engineering. Programming
skills as well as a strong interest in cognitive neuroscience are fundamental.
Electroencephalographic and kinematic data analyses skills are a plus.<o:p class=""></o:p></span></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><u class=""><span lang="EN-US" style="font-size: 12pt;" class="">Contact: </span></u><span style="font-size: 12pt;" class="">Dr.
Alessandro D’Ausilio: </span><span style="font-size: 12pt;" class=""><a href="mailto:alessandro.dausilio@iit.it" class="">alessandro.dausilio@iit.it</a> - </span><span style="font-size: 12pt;" class="">Prof.
Luciano Fadiga: </span><a href="mailto:luciano.fadiga@iit.it" class=""><span style="font-size: 12pt;" class="">luciano.fadiga@iit.it</span></a></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><br class=""></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><span lang="EN-US" style="font-size: 12pt;" class="">Necessary skills for all applicants are: </span><span lang="EN-US" style="font-size: 12pt;" class="">Strong team-work skills </span><span style="font-size: 12pt;" class="">- Strong communication and English skills
(written and oral) </span><span style="font-size: 12pt;" class="">- Adaptability and problem solving </span><span style="font-size: 12pt;" class="">- Creativity and scientific curiosity </span><span style="font-size: 12pt;" class="">- Proactive attitude</span></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><span lang="EN-US" style="font-size: 12pt;" class="">The salary will be based on standards of the
Istituto Italiano di Tecnologia (c.a. 1250€/month; as a reference, rent for a
studio apartment in the city center is 300-400€/month). For additional
information, please contact the responsible person for the research line of
interest and/or the CTNSC Director (Prof. Luciano Fadiga - </span><a href="mailto:luciano.fadiga@iit.it)" class=""><span lang="EN-US" style="font-size: 12pt;" class="">luciano.fadiga@iit.it)</span></a><span lang="EN-US" style="font-size: 12pt;" class="">.</span></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><span lang="EN-US" style="font-size: 12pt;" class=""> </span></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><b class=""><span lang="EN-US" style="font-size: 12pt;" class="">DEADLINE:
5<sup class="">TH</sup> AUGUST 2016<o:p class=""></o:p></span></b></p><p class="MsoNormal"><o:p class=""> </o:p></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><span lang="EN-US" style="font-size: 12pt;" class="">CTNSC Info: </span><span lang="EN-US" style="font-size: 12pt;" class=""><a href="https://www.iit.it/centers/ctnsc-unife" class="">https://www.iit.it/centers/ctnsc-unife</a></span></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><span lang="EN-US" style="font-size: 12pt;" class="">PhD page [ITA]: </span><a href="http://www.unife.it/studenti/dottorato/concorsi/ordinario" class=""><span lang="EN-US" style="font-size: 12pt;" class="">http://www.unife.it/studenti/dottorato/concorsi/ordinario</span></a><span lang="EN-US" style="font-size: 12pt;" class=""><o:p class=""></o:p></span></p><p class="MsoNormal" style="text-align:justify;text-justify:inter-ideograph;
mso-pagination:none;mso-layout-grid-align:none;text-autospace:none"><span lang="EN-US" style="font-size: 12pt;" class="">How to participate to the selection
[ITA/ENG]: </span><a href="http://www.unife.it/studenti/dottorato/modulistica/Guidaconcorso.pdf" class=""><span lang="EN-US" style="font-size: 12pt;" class="">http://www.unife.it/studenti/dottorato/modulistica/Guidaconcorso.pdf</span></a></p>
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