57 algorithm-development-"Prof"-"Prof"-"Prof" Postdoctoral positions at Texas A&M University
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place technologies and to develop digital twin algorithms to assist clinicians in developing treatment plans for patients with chronic diseases. Analyzes complex sensor data, works with a
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plants). The associate will develop rigorous, scalable methods—spanning physics-based and data-driven models—for optimal power flow, demand response of flexible loads, transient/stability-aware dispatch
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learning algorithms Healthcare facility design and research Knowledge, Skills, and Abilities: Excellent verbal and written communication skills, including publications in peer-reviewed journals. Strong
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place technologies and to develop digital twin algorithms to assist clinicians in developing treatment plans. Analyzes complex sensor data, works with a multidisciplinary team to develop health digital
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of scientific programming language(s), computer simulation, and quantum computing algorithms All tasks and job responsibilities must be performed safely without injury to self or others in compliance with System
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– Corpus Christi has a sense of belonging research environment utilizing geospatial science to support data driven decision making. The institute’s research laboratories develop innovative solutions
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skills Excellent scientific writing ability and good communication skills Knowledge of scientific programming language(s), computer simulation, and quantum computing algorithms All tasks and job
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machine learning techniques, both data-driven and physics-informed, with mantle convection modeling to investigate planetary evolution and habitability. This is a one-year position with the possibility
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but not required, we are happy to train the right candidate who is eager to learn and grow. Opportunities and Training You will have opportunities to: Work on multiple projects: independently under
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) invites applications for a Postdoctoral Research Associate position. The successful candidate will lead the development of ocean models, building upon existing modeling frameworks established by the group