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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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various aspects of nucleocytoplasmic transport. Data Analysis Use existing algorithms and design new approaches to analyze microscopy data in order to understand its implications for understanding
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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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team. Strong organizational skills and attention to detail to manage multiple research tasks effectively. Ability to multi-task and work cooperatively with others. Responsibilities Conduct Research
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expertise and a strong publication record utilizing advanced statistical modeling and missing data techniques, specifically multiple imputation. Strong foundational knowledge of pediatric health and clinical
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management skills (multiple studies, timelines, coordination). Experience training/supervising RAs and managing study teams. Familiarity with IRB/human-subject compliance and research documentation. Knowledge
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communication. Professional, service-oriented interpersonal skills with faculty, students, and research teams. Excellent organization and attention to detail. Ability to manage multiple projects and deadlines in
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on basic and applied aspects of genomic research within domestic and natural populations. This position will analyze complete genomic datasets from multiple mammalian systems to dissect the repeatability