10 Computer Science Fellowship positions at University of Texas at Austin in United-States
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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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communication studies, journalism, political science, public administration, economics, information science, or related fields within the last three years. Strong record of research productivity. Experience
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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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will be expected to participate in lab administrative and management work Required Qualifications PhD in molecular biology, biochemistry, microbiology or closely related field. Preferred Qualifications
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PhD in nursing, or a related field from a U.S. institution Desire to pursue a career in nursing research and scholarship Technical skills related to behavioral sciences research, including strong
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-academy/ . For more information on college staff professional development, please visit: https://wikis.utexas.edu/display/larc/Staff+Professional+Development+Fund . Purpose Sponsored by the National Science
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immunology, cancer biology, or a related field and experience working with mouse models. The ideal applicant will have a strong background in immunology and/or cancer biology, experiments using genetically