31 parallel-programming-"EURAXESS" Fellowship positions at University of Texas at Austin
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Qualifications Master’s degree from a recognized graduate art conservation education program, with a demonstrated concentration in photograph or paper conservation, or equivalent combination of education and
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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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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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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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accommodation. ---- Retirement Plan Eligibility: The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days
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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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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