[visionlist] Postdoctoral Fellow (University of Texas Health San Antonio)

[Mohamad Habes]

Postdoctoral Fellow (University of Texas Health San Antonio)

Are you excited about deep learning? Do you want to apply and develop deep
learning methods to high dimensional neuroimaging data and make new
discoveries which could advance our understanding of Alzheimer’s disease?
We are looking for a postdoctoral fellow who is willing to research more
deep and transfer learning methods in large cohort based studies.

Alzheimer’s disease and other dementias are heterogeneous conditions, which
makes differentiating between them and their subtypes very challenging. Our
goal is to use neuroimaging data and deep learning to help uncover and
detect specific pathologies and patterns emerging in early Alzheimer’s
disease. In this position your challenge will be to develop new deep
learning architectures and algorithms that allow current pathology
detection and prediction of possible future disease trajectories.

Your work environment will be the Neuroimage Analytics Laboratory (NAL,
https://www.nallab.org) and the Biggs Institute Neuroimaging Core (BINC).
We build advanced neuroimage analytical techniques to derive discovery.
Data-driven approaches are of special interest in our lab, as machine
learning and machine intelligence will guide the scientist towards the
finding. On a broader goal, our tools help delivering precise diagnostics
on an individual’s level and ultimately could guide treatment progress.

We are part of the Biggs Institute (https://biggsinstitute.org), which is
being established as a flagship, free-standing institute within University
of Texas Health San Antonio (UTHSA), with the mission of establishing an
interdisciplinary, integrated program to provide comprehensive clinical
care and undertake innovative and important research into the prevention
and treatment of Alzheimer’s Disease and other neurodegenerative
conditions, including vascular contributions to dementia, Parkinson’s
disease and frontotemporal dementia. It has strong institutional and
community support and will benefit from existing resources within UTHSA
such as the Barshop Institute for Longevity and Aging Studies, the Center
for Biomedical Neuroscience, the School of Nursing, the Cancer Center, and
the Research Imaging Institute along with the San Antonio campus of the UT
Health Houston School of Public Health.

Responsibilities

• Develop, test and validate novel architectures and algorithms for deep
learning with neuroimaging data

• Apply your validated methods to large scale research and real life
everyday clinical routine neuroimaging data

• Willingness to work in teams, within NAL, BINC and Biggs and with
national and international collaborators

• Communicate your research results to the larger communities through
publications in international conferences and journals

• Work with great deal of independence in achieving research goals
Requirements

• A PhD degree in Artificial Intelligence, Machine Learning, Computer
Vision or Medical Image Analytics with solid experience in deep learning;
Experience in Neuroimaging and Dementia Research is a plus.

• Great eagerness to solve scientific problems
• Strong programming skills, e.g. in Python, R, C++ and Java. Experience
with

Python deep learning toolboxes and high-performance computational facilities

could be a plus;
• Excellent record of publishing in relevant high-quality journals in the
above fields • Excellent communication abilities in English; spoken and
written.

If interested, please send a copy of your CV to Dr. Habes (habes at uthscsa.edu
) ----

Mohamad Habes, Ph.D.
Assistant Professor, Departments of Radiology and Epidemiology Director,
Neuroimage Analytics Laboratory (NAL)
Director, Biggs Institute Neuroimaging Core (BINC)
Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases
Director, Biomedical Image Analytics Division (BIAD)
Research Imaging Institute
University of Texas Health Science Center San Antonio (UTHSCSA) 7703 Floyd
Curl Drive, San Antonio, Texas 78229
(Phone) +1 210-450-8416
(Email) habes at uthscsa.edu

Adjunct Assistant Professor, Department of Radiology University of
Pennsylvania
3700 Hamilton Walk, Philadelphia, Pennsylvania 19104 (Email)
habesm at upenn.edu

https://www.nallab.org
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://visionscience.com/pipermail/visionlist_visionscience.com/attachments/20201220/cf6b220f/attachment.html>