27 programming-"the"-"DAAD"-"IMPRS-ML"-"University-of-Kent"-"PDI-Service" Fellowship positions at University of Texas at Austin
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required by project needs Assist with program management, including IRB submission/modification, data management with RedCap, and data analysis Lead and co-author peer reviewed publications Support grant
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health in Fall 2026 (e.g., Religion and Biomedical Ethics). Organize and execute an interdisciplinary conference or research symposium on campus that involves collaboration with other programs and units
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program of the Department of Mathematics is consistently ranked among the best by US News, with several research areas in the top ten. Our core faculty includes around 50 tenured and tenure-track members
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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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the last three years. Solid experience with AI/machine learning methodologies, particularly those applicable to network optimization. Proven ability in programming and familiarity with network simulation
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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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pressing challenges of the 21st century through world class research, unsurpassed student education, and dedicated service to the community. The Digital Molten Salt Reactor Initiative (D’MSRI) is a program
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symposium on campus that involves collaboration with other programs and units on campus, such as the Humanities, Health & Medicine Program, the Dell Medical School, and the College of Natural Sciences Present
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defined benefit retirement plan, with 8.25% employer matching funds Additional Voluntary Retirement Programs: Tax Sheltered Annuity 403(b) and a Deferred Compensation program 457(b) Flexible spending
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system dynamics and hydroclimate extremes. Strong programming skills including analysis of large hydroclimate datasets in Python or similar and creating analysis and visualization workflows on a