26 programming-"the"-"DAAD"-"EURAXESS"-"U"-"UCL"-"Bangor-University" Fellowship positions at University of Texas at Austin
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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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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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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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, within the last 3 years, in oceanography, ecology, computer science or related discipline Demonstrated proficiency in a programming language, along with strong computational and quantitative skills in
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the potential to be a second year pending performance and funding. Your skills will make a difference. You will be working for a university that is internationally recognized for our academic programs and
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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