9 algorithm-sensor-"University-of-Arizona" 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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TAMU. Experience with machine learning and deep neural network techniques. Experience with wearable and sensors placed in the environment. Knowledge of characteristics associated with mild cognitive
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materials, sensor components, and system prototypes. Conduct electrochemical impedance spectroscopy (EIS), cyclic voltammetry, and power density measurements. Lead data acquisition, signal processing, and
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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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experiments. Calcium imaging: Utilizing calcium dyes or genetically encoded calcium sensors (i.e. GCaMP) to measure and quantify intracellular calcium levels in a live brain slice preparation. Performing
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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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figures for publications and grants. Calcium imaging: Utilizing calcium dyes or genetically encoded calcium sensors (i.e. GCaMP) to measure and quantify intracellular calcium levels in a live brain slice
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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