22 programming-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" Fellowship positions at University of Texas at Austin
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and Application in Medicine (TEAM-AI) Lab, focusing on accelerating the translation of AI innovations in biomedicine and healthcare. The lab consists of faculty members, program managers/coordinators
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holiday time off ; access to employee professional development and wellness services ; the opportunity to qualify for the Public Service Loan Forgiveness (PSLF) federal program. The College of Pharmacy at
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Fellows in the laboratory of Dr. Amy Lee, PhD in the Department of Neuroscience (https://neuroscience.utexas.edu ) at The University of Texas at Austin. Lee Lab: https://www.cachannel.net Postdoctoral
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such artificial empathy, and how this relates to AI sycophancy and mental health. For more information about the research conducted in the lab, please visit the lab website at https://cascoglab.psy.utexas.edu
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off ; access to employee professional development and wellness services ; the opportunity to qualify for the Public Service Loan Forgiveness (PSLF) federal program; and more. The College of
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, laboratory training, the UTIG postdoctoral mentoring program, and other UTIG, Jackson School, and University career development and training opportunities. Required Qualifications PhD in a relevant field must
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of the essential functions with or without a reasonable accommodation. ---- Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position
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qualifications and you can perform all of the essential functions with or without a reasonable accommodation. ---- Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System
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diversion, and well completions. Experience with simulation programs such as CMG, TOUGH, MOOSE, ResFrac, or similar tools. Strong understanding of multiphase flow, heat transport, and fractured reservoir
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and quantitative models. Documented capabilities in programming like Python, R, SQL, or Julia. Proficient in Excel and PowerPoint. Preferred Qualifications Geospatial modeling and analysis is a