45 Computer Science Fellowship positions at University of Texas at Austin in america in United States
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interdisciplinary programs in computational sciences and engineering, computational medicine, computational geosciences, mathematical modeling, applied mathematics, data science, software engineering, and
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the selectivity values observed in dense films and suitably high permeance. Job Description As a top-10 engineering school with the No. 1 program in Texas, the Cockrell School of Engineering at The University
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machine learning implementation, and techno-economics. Responsibilities Research Writing Proposal Development Various other duties as assigned Required Qualifications The ideal candidate must have: Ph.D. in
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Job Posting Title: Postdoctoral Fellow ---- Hiring Department: Department of Computer Science ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA Status: Exempt
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---- Earliest Start Date: Sep 01, 2024 ---- Position Duration: Expected to Continue Until Aug 31, 2026 ---- Location: UT MAIN CAMPUS ---- Job Details: General Notes The Postdoctoral Fellow program aims
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, engineering and mathematics (STEM) education related projects, research grants, and contracted evaluation services. Responsibilities Design and coordinate evaluations of computing and STEM education related
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the use of computer and mobile technologies to study the experiences of racial/ethnic minority women and to eliminate gender and ethnic disparities globally. Dean Im’s Lab at the University of Texas, Austin
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Job Posting Title: Postdoctoral Fellow, Texas GenAI Center ---- Hiring Department: Department of Computer Science ---- Position Open To: All Applicants ---- Weekly Scheduled Hours: 40 ---- FLSA
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of the Jackson School of Geosciences at the University of Texas at Austin. Scientists and students at UTIG conduct expeditionary research in Earth Science in all parts of the world, and are also involved in
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communication studies, journalism, political science, public administration, economics, information science, or related fields within the last three years. Strong record of research productivity. Experience