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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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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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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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: AUSTIN, TX ---- Job Details: General Notes This position is a temporary assignment with an end date of December 31st, 2025, renewable based upon availability of funding, work performance, and progress