19 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" Fellowship positions at University of Texas at Austin
Sort by
Refine Your Search
-
. For more details on benefits, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total-rewards . This position is eligible for a hybrid Flexible Work
-
receive with UT? The university offers an impressive benefits package. For more details on benefits, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my
-
UT? The university offers an impressive benefits package. For more details on benefits, please see: https://hr.utexas.edu/prospective/benefits and https://hr.utexas.edu/current/services/my-total
-
decision-making, and join a vibrant AI research community at the University of Texas at Austin, become members of The University of Texas at Austin’s Machine Learning Laboratory (https://ml.utexas.edu
-
effective May 2015. The university’s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: http://www.utexas.edu/hr/documents
-
in the Science of Learning and Metacognition Lab (SLAM lab; https://sites.edb.utexas.edu/slam/) under the primary mentorship of Veronica Yan, Ph.D. The lab’s research integrates cognitive, socio
-
of Mathematics. https://www.ma.utexas.edu/ Each R.H. Bing Fellow holds an Instructorship in the Department of Mathematics with a teaching load of one course per long semester. The combined Instructorship
-
found here: https://www.jsg.utexas.edu/people/postdoctoral-fellows-programs/unit-level-postdoctoral-fellowships/ . For questions on these positions, please contact Dr. Chenguang Sun at csun@jsg.utexas.edu
-
microscopy systems that integrate machine learning, robotic control, and real-time data analysis to achieve autonomous imaging and interpretation of complex materials systems. The Fellow will design and
-
, including survival analysis, time-series techniques, causal inference approaches, and/or machine learning methods to large healthcare datasets. Prior experience mentoring or supervising graduate students