19 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" Fellowship positions at University of Texas at Austin
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Job Posting Title: Postdoctoral Fellow, PhARM Program, College of Pharmacy ---- Hiring Department: College of Pharmacy ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA
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: General Notes As a top-10 engineering school with the No. 1 program in Texas, the Cockrell School of Engineering at The University of Texas at Austin has been a global leader in technology innovation and
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and childcare expenses Robust free training access through LinkedIn Learning plus professional conference opportunities Tuition assistance Expansive employee discount program including athletic tickets
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learning, computer vision, and automated microscope control for autonomous imaging, focusing, and data acquisition. Advance AI-assisted image interpretation, including atomic structure recognition, defect
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invite applications from varied relevant academic backgrounds, including Computer Science, Engineering, Statistics, and Data Science. Successful candidates will have a Ph.D. in a relevant field of research
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Postdoctoral Fellow - Materials Chemistry, Texas Materials Institute, Cockrell School of Engineering
: UT MAIN CAMPUS ---- Job Details: General Notes As a top-10 engineering school with the No. 1 program in Texas, the Cockrell School of Engineering at The University of Texas at Austin has been a global
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Postdoctoral Research Fellow to start in Fall 2026 to work with Associate Professor Peter Bergman. The Fellow will contribute to a research program focused on AI applications for economic mobility, such as
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: PICKLE RESEARCH CAMPUS ---- Job Details: General Notes As a top-10 engineering school with the No. 1 program in Texas, the Cockrell School of Engineering at The University of Texas at Austin has been a
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cell biology, molecular biology, biochemistry and physiology to glean insight into disease onset and progression. Responsibilities Lead and conduct primary research. Work with PI to establish project
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research described above. Data collection, data curation, data organization and data analysis, bioinformatic analysis, run computational pipelines, survey literature. Properly document lab notebooks