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multiscale and multiphysics modeling for thermomechanical effects on high performance heat spreaders based on materials such as diamond thin films. Collaborate with experimental groups on characterization
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position with an end date 1 year from the start date. The position is renewable based upon availability of funding, work performance, and progress toward goals with the option to continue until August 31
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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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environmental science field, earned within the last 3 years. Prior experience in epifluorescence microscopy, Raman spectroscopy, and/or microbial cultivation. Strong academic track record and/or demonstrated high
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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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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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, 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