[Neuroimaging] Postdoctoral Positions at UT Austin

[Franco Pestilli]

Dear Colleagues,

I would appreciate sharing the announcement below.

Postdoctoral positions are available in the Laboratory of Dr. Franco
Pestilli <https://liberalarts.utexas.edu/psychology/faculty/fp4834> in
the Department
of Psychology <https://liberalarts.utexas.edu/psychology/>, Center for
Perceptual Systems <https://liberalarts.utexas.edu/cps/> and Center for
Theoretical and Computational Neuroscience <https://ctcn.utexas.edu/> at
the University of Texas at Austin <https://www.utexas.edu/>.

The positions are funded by NIH and NSF awards and associated with projects
integrating the Brain Imaging Data Structure <https://bids.neuroimaging.io/>,
brainlife.io, OpenNeuro.org with EEG, MEG and MRI data.

The projects are in collaboration with:
- Russ Poldrack, Stanford University
<https://profiles.stanford.edu/russell-poldrack>
- Ted Satterthwaite, University of Pennsylvania
<https://www.med.upenn.edu/bbl/faculty-tsatterthwaithe.html>
- Ariel Rokem, The University of Washington, Seattle
<https://escience.washington.edu/people/ariel-rokem/>
- Oscar Esteban, University of Lausanne
<https://wp.unil.ch/connectomics/team/oscar-esteban/>
- Cyril Pernet, Copenhagen University Hospital <https://cpernet.github.io/>
- Robert Smith, Florey Institute of Neuroscience
<https://florey.edu.au/science-research/scientist-directory/dr-robert-smith>
- Eugene Duff, Imperial College London
<https://www.imperial.ac.uk/people/e.duff>
- Aina Puce, Indiana University
<https://psych.indiana.edu/directory/faculty/puce-aina.html>
- Nathalie George, Sorbonne Université
<https://institutducerveau-icm.org/fr/george-nathalie/>
- Guiomar Niso, Universidad Politécnica de Madrid <https://guiomarniso.com/>

A few words describing the projects:
- *The Brain Imaging Data Structure for Connectivity.* Expanding the
usability of the Brain Imaging Data Structure standard by developing the
formats necessary to describe advanced data derivatives related to brain
connections (diffusion imaging, tractography, tract-profiles, tractometry,
functional networks, and network models).
- *Integrating EEG and MEG data-processing Apps on brainlife.io
<http://brainlife.io>. *Develop powerful web services to Integrate EEG and
MEG data on brainlife.io so to allow standardization, reutilization and
automated visualization of data.
- *Deep and Shallow Machine-Learning for neuroimaging data analysis and
augmentation using brainlife.io <http://brainlife.io>. *Work on projects
related to the application of Machine-Learning algorithms to validate data
and process open datasets from OpenNeuro.org using
*software-as-service* reproducible
processing pipelines on brainlife.io

For more information please email: pestilli at utexas.edu

Best regards,

*FRANCO PESTILLI*, *Ph.D.* | *Associate Professor*
Department of Psychology
<https://liberalarts.utexas.edu/psychology/index.php> | College of Liberal
Arts <https://liberalarts.utexas.edu/> | The University of Texas at Austin
<https://www.utexas.edu/>
he/him | pestilli at utexas.edu | web
<https://liberalarts.utexas.edu/psychology/faculty/fp4834> | GitHub
<https://github.com/francopestilli> | brainlife.io
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://mail.python.org/pipermail/neuroimaging/attachments/20211011/45e454ee/attachment.html>