[Neuroimaging] Postdoctoral Positions at UT Austin

[Dan Lurie]

Whoops! I thought I was replying directly, sorry for the mass email everyone.

Dan Lurie
Graduate Student
Department of Psychology
University of California, Berkeley
http://despolab.berkeley.edu/lurie
On Oct 11, 2021, 15:37 -0700, Dan Lurie <dan.lurie at berkeley.edu>, wrote:
> Dear Professor Pestilli,
>
> I am wondering if you would consider a remote candidates for these positions. I am passionate about working to improve reproducibility in neuroimaging, particularly in studies of brain connectivity. I will soon be finishing my PhD at UC Berkeley, but need to stay local for now due to family obligations. That said, if remote work with your group is an option, I’d be eager to chat with you. I’ve attached my CV.
>
> Thanks and take care,
> Dan
>
> Dan Lurie
> Graduate Student
> Department of Psychology
> University of California, Berkeley
> http://despolab.berkeley.edu/lurie
> On Oct 11, 2021, 15:23 -0700, Franco Pestilli <pestilli at utexas.edu>, wrote:
> > Dear Colleagues,
> >
> > I would appreciate sharing the announcement below.
> >
> > Postdoctoral positions are available in the Laboratory of Dr. Franco Pestilli in the Department of Psychology, Center for Perceptual Systems and Center for Theoretical and Computational Neuroscience at the University of Texas at Austin.
> >
> > The positions are funded by NIH and NSF awards and associated with projects integrating the Brain Imaging Data Structure, brainlife.io, OpenNeuro.org with EEG, MEG and MRI data.
> >
> > The projects are in collaboration with:
> > - Russ Poldrack, Stanford University
> > - Ted Satterthwaite, University of Pennsylvania
> > - Ariel Rokem, The University of Washington, Seattle
> > - Oscar Esteban, University of Lausanne
> > - Cyril Pernet, Copenhagen University Hospital
> > - Robert Smith, Florey Institute of Neuroscience
> > - Eugene Duff, Imperial College London
> > - Aina Puce, Indiana University
> > - Nathalie George, Sorbonne Université
> > - Guiomar Niso, Universidad Politécnica de Madrid
> >
> > 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. 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. 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 | College of Liberal Arts | The University of Texas at Austin
> > he/him | pestilli at utexas.edu | web | GitHub | brainlife.io
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