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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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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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algorithms, environmental time series and anomaly detection. SALARY: Up to $6,250.00 Monthly ($75,000.00 Annual, Approximately) NOTE This is a grant funded position with continued employment contingent upon
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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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University in College Station, Texas. A typical workday schedule is 8:00 a.m. to 5:00 p.m. in the office space provided. Other Requirements and Factors: This position is for two years. It is funded by non
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at the Mosbacher Institute’s office located on-site at the Bush School of Government and Public Service at Texas A&M University in College Station, Texas. A typical workday schedule is 8:00 a.m. to 5:00 p.m. in
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funded; future employment may be contingent upon future funding. Salary: Compensation will be commensurate to the selected hire’s experience. Schedule: May have to work on the weekend and/or after normal