[visionlist] Postdoc position in deep learning and neuroimaging -University of Texas Health San Antonio-

[Mohamad Habes]

The Neuroimage Analytics Laboratory (NAL) and the Biggs Institute
Neuroimaging Core (BINC) are recruiting a postdoctoral fellow in deep
learning and neuroimaging

-University of Texas Health San Antonio-

Are you excited about deep learning and transfer 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) 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 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
(transfer) 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
)
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