21 high-performance-computing-postdoc Fellowship positions at University of Texas at Austin
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has also been developing physics-based machine learning algorithms for three dimensional seismic modeling, imaging and inversion using high performance computation including parallelization on GPUs
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parts of the world and are also involved in planetary missions and climate modeling. These research projects produce large data sets and require computational analysis and visualization. Your skills will
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Experience with high performance computer clusters (e.g, TAMU-HPRC, UT-TACC, NVIDIA Data Center). Preferred Qualifications Background in estuarine ecology, aquatic vegetation Experience with image analysis
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thinking skills, and ability to work as part of a multidisciplinary team. High computer proficiency, including basic MS Office, MS Access, graphics, and database software. Basic project management and
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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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thinking skills, and ability to work as part of a multidisciplinary team. High computer proficiency, including basic MS Office, MS Access, graphics, and database software. Basic project management and
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, geology, or related field. Demonstrate experience and aptitude in remote sensing of complex thermal systems (e.g., fires, volcanoes, or urban heat). Ability to develop code/algorithms for data analysis and
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. This is a temporary training position that can be renewed annually, for a maximum of five years, based upon performance review, progress towards research goals, and continuation of funding. Purpose To work
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subject to satisfactory performance and funding availability. Responsibilities Join field and lab-based experiment, perform data collection and interpretation. Present research results at national
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for some laboratory experiments. Purpose As a part of an interdisciplinary, integrated research project, the candidate will contribute to time-lapse seismic and rock physics modeling and perform sand tank