<div dir="ltr"><p class="MsoNormal" style="margin:1.4pt 0in;line-height:115%;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:12pt;font-family:Arial,sans-serif;color:black">On behalf of Dr. Kenet:</span></p>

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<p class="MsoNormal" style="margin:1.4pt 0in;line-height:115%;font-size:11pt;font-family:Calibri,sans-serif"><b><span style="font-size:12pt;font-family:Arial,sans-serif;color:black">Post-doctoral fellowship position(s) at the Martinos Center (MGH, Harvard
Medical School, Boston)</span></b></p>

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<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:Calibri,sans-serif"><b><span style="font-size:12pt;font-family:Arial,sans-serif;color:black">Overview:</span></b><span style="font-size:12pt;font-family:Arial,sans-serif;color:black"> Applications
are invited for up to two open NIH funded Postdoctoral Research Fellow
Positions at the Massachusetts General Hospital Athinoula A. Martinos Center
for Biomedical Imaging in Boston, MA (<a href="http://www.nmr.mgh.harvard.edu" style="color:blue"><span style="color:black;text-decoration-line:none">www.nmr.mgh.harvard.edu</span></a>).
The postdoctoral fellows will also be affiliated with Harvard Medical
School. The successful candidates will have the opportunity to apply state of
the art neurophysiological analysis approaches to a wide range of open questions
in cognitive and developmental neuroscience, spanning speech processing, visual
and auditory spatial attention, visual search, multi-modal sensory processing,
and cortical maturation trajectories, in both typical development and abnormal
development associated with autism spectrum disorders (ASD), using MEG/EEG data.
</span></p>

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<p class="MsoNormal" style="margin:0in 0in 0.0001pt;text-align:justify;line-height:115%;font-size:11pt;font-family:Calibri,sans-serif"><b><span style="font-size:12pt;font-family:Arial,sans-serif;color:black">Responsibilities:</span></b><span style="font-size:12pt;font-family:Arial,sans-serif;color:black"> Open projects in the lab include using auditory
and visual spatial attention paradigms to study directional functional
connectivity abnormalities in ASD, developing sensory-based and resting-state
based biomarkers for ASD and related disorders, the normal and abnormal maturation
of cortical resting state networks, and functional connectivity during auditory
processing of speech versus non-speech stimuli in ASD versus typical
development. The scope of studies will span questions that are already defined,
alongside a wide breadth for novel, creative, interesting questions. The responsibilities
will include the analyses of already existing novel and rich data sets,
including speech processing data and resting state data, as well as collecting
and analyzing new data for recently funded grants (visual and auditory spatial
attention), the implementation of well-tested as well as novel analyses
methods, and working closely with the MNE team at the Martinos Center, led by
Professor Matti Hämäläinen, to apply the latest software developments to MEG/EEG
data analyses with a focus on novel applications of the methods to old and new neuroscience
questions! Contributions to analysis tools are encouraged and welcomed!  The positions will also involve collecting combined
EEG/MEG and MRI data from with adolescents and young adults, including some
with autism spectrum disorders. Other responsibilities include the preparation
of manuscripts, writing of grants, and development and implementation of new
paradigms.</span></p>

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<p class="MsoNormal" style="margin:0in 0in 0.0001pt;line-height:normal;font-size:11pt;font-family:Calibri,sans-serif"><b><span style="font-size:12pt;font-family:Arial,sans-serif;color:black">Requirements:</span></b><span style="font-size:12pt;font-family:Arial,sans-serif;color:black"> Candidates
should have a Doctoral degree in a relevant field, such as neuroscience,
experimental psychology, or similar. A multidisciplinary degree in fields such as
biomedical engineering, applied mathematics, computer science, combined with
experience in applications to neuroscience, is also highly welcomed. Candidates
must have extensive experience with electrophysiological signal processing, and
while previous experience in acquiring and analyzing MEG/EEG data is a
strength, it is not a requirement; extensive experience with related signal
processing applications such as invasive neurophysiological data for instance
is also highly welcomed. Familiarity with MEG/EEG and MRI analysis software
packages, in particular MNE, Brainstorm and FreeSurfer is preferred, but not a
requirement. Strong programming skills are a requirement, and experience with
Python in particular is desirable. Lastly, and perhaps obviously, creativity,
curiosity, drive, and general love of neuroscience!!</span></p>

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<p class="MsoNormal" style="margin:0in 0in 0.0001pt;text-align:justify;line-height:115%;font-size:11pt;font-family:Calibri,sans-serif"><b><span style="font-size:12pt;font-family:Arial,sans-serif;color:black">To apply:</span></b><span style="font-size:12pt;font-family:Arial,sans-serif;color:black"> Interested candidates should send a CV, cover letter, and contact
information for at least two references to Tal Kenet, </span><span class="gmail-MsoHyperlink" style="color:blue;text-decoration-line:underline"><span style="font-size:12pt;font-family:Arial,sans-serif"><a href="mailto:tal@nmr.mgh.harvard.edu" style="color:blue">tal@nmr.mgh.harvard.edu</a></span></span><span style="font-size:12pt;font-family:Arial,sans-serif;color:black"></span></p>

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<p class="MsoNormal" style="margin:0in 0in 0.0001pt;text-align:justify;line-height:115%;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:12pt;font-family:Arial,sans-serif;color:black">The Massachusetts General Hospital is an Equal Opportunity/Affirmative
Action Employer.</span></p>

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