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, and uncertainty-aware algorithms for autonomous driving systems. The position focuses on developing robust decision-making, planning, and control methods that address uncertainty arising from perception
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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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impairment capturable with digital interfaces. Experience with agentic large language models. Experience in artificial intelligence to develop the algorithms for digital twins. Experience with both qualitative
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algorithms (convex/nonconvex, stochastic/robust, MPC) for real-time dispatch, frequency regulation, and DER coordination. Integrate data-driven and physics-informed approaches for state estimation, forecasting
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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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system using mouse models. Techniques may include confocal imaging, brain slice electrophysiology, in vivo manipulations, molecular biology, and behavioral analysis. Genetic mouse models will be applied
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network excitability following traumatic brain injury using a variety of techniques, including in vivo whole-cell recording and two-photon microscopy, brain slice physiology, and genetic manipulation
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behavioral experiments, executing genetic manipulations, and generating novel fly lines. The ideal candidate will have experience mentoring students and collaborating within research teams, with additional
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Job Title Postdoctoral Research Associate-Molecular Biology Agency Texas A&M University Health Science Center Department Cell Biology and Genetics Proposed Minimum Salary Commensurate Job Location
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Job Title Postdoctoral Research Associate Agency Texas A&M University Health Science Center Department Cell Biology and Genetics Proposed Minimum Salary Commensurate Job Location Bryan, Texas Job