7 machine-learning-"https:"-"https:"-"https:"-"https:"-"U.S"-"U.S"-"U.S" Fellowship positions at University of Texas at Austin
Sort by
Refine Your Search
-
and wave-equation–based modeling, including familiarity with adjoint-state methods, gradient-based optimization, and multi-scale inversion strategies. Proven expertise in machine learning and deep
-
to reactor physics, computational methods, machine learning, and data science. Proficiency in modern software development practices, GIT-based version control, high performance computing platforms, and object
-
Qualifications Experience with field experiments, applied microeconomics (education, housing, labor), administrative data, or AI/machine learning applications in social science research. Salary Range $75,000
-
, 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
-
one or more of the following areas: (1) modeling of infectious disease dynamics, (2) statistics, machine learning, and AI, or (3) operations research and optimization. Preference will be given
-
. Experience with the use of electronic medical records and clinical data. Self-direction, critical thinking skills, and ability to work as part of a multidisciplinary team. High computer proficiency, including
-
candidates who can contribute to excellence within the learning health system. About the Glaucoma Fellowship-Trained Ophthalmologist Position The University of Texas at Austin, Dell Medical School, is seeking