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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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develop digital twin algorithms to assist clinicians in developing treatment plans for patients with chronic diseases. Analyzes complex sensor data, works with a multidisciplinary team to develop health
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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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supervising research projects in accordance with general plans approved by the supervisor. Will participate in ongoing projects relating to mechanisms of antibiotic resistance, bacterial genetics and physiology
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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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cell imaging of genetically encoded reporters (calcium, chloride, potassium, voltage, etc.) with photo-uncaging drug delivery. Ability to exhibit ambition and urgency in achieving near- and long-term
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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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. Qualifications Appropriate PhD in a related field. A well-qualified candidate for this position will also possess: PhD in Biology or related discipline. Experience in Drosophila molecular biology and genetics
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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 College Station
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structural biology will be well-suited for this role. You’ll apply your specialized skills using advanced genetic mouse models and techniques like confocal imaging, brain-slice electrophysiology, in vivo