17 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "Université de Bordeaux " Fellowship positions at University of Texas at Austin
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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
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. 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
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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
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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
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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
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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
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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
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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
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radiochemistry, computational chemistry, and/or nuclear materials science. Preferred Qualifications Depending on the project, experience with Python, machine learning techniques, and any of the following tools is
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, 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