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collaborative and international research community, working closely with researchers, industry partners, and public stakeholders to address real-world challenges relevant to maritime security, environmental
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Oden Institute for Computational Engineering and Sciences | Austin, Texas | United States | 3 months ago
. Bioinformatics analysis of sequencing data. Population genetics or evolutionary genomics. Applicants with extensive experience in highly degraded DNA (for example forensic, environmental, museum, or clinical
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this program. Health insurance can be obtained through ORISE. The successful applicant(s) will be required to comply with Environmental, Safety and Health (ES&H) requirements of the hosting facility, including
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of Mechanical, Structural and Materials Engineering; the Department of Mathematics and Physics; the Department of Chemistry, Bioscience and Environmental Engineering; the Department of Energy and Petroleum
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affiliation and recurrent research visits at the Department of Civil, Environmental and Mechanical Engineering of the University of Trento (Italy). We are looking for a capable and motivated candidate with
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Chemistry, Materials Science, Chemical Engineering, Environmental Engineering, or a related field. Experience in materials synthesis, characterization, and membrane fabrication. Knowledge in membrane science
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, research institutions, schools and public administration. Our research ranges from the core topics of chemistry to applied science within in environmental, health, energy and materials. The Department has
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design and operational strategies that enhance system flexibility, improve resilience to variable supply and demand, and minimize environmental impact. By drawing on interdisciplinary expertise (spanning
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and recovery. Using cutting-edge engineering biology approaches, ELEMENTAL advances research in mining, urban and industrial waste, helping address environmental challenges and create renewable inputs
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of environmental factors of 60,000 subjects across multiple time points. Our research laboratory has great computing capacity, including multiple H100 and A100 GPU systems for deep learning, and computing clusters