4 machine-learning-prediction-modelling Fellowship positions at University of Michigan
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, i.e., machine learning models explicitly constrained by physical laws (e.g., conservation of mass, momentum, or energy) or designed to integrate physics-based models and data-driven learning
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Prediction Systems (CHPS), or experience with one or more of the following hydrologic models, including Sacramento Soil Moisture Accounting model (Sac-SMA model), Variable Infiltration Capacity model (VIC
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health records (EHR), waveforms from bedside monitors, radiology images and wearable sensors. This position offers a unique opportunity to work closely with clinicians on applications of machine learning
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health records (EHR), waveforms from bedside monitors, radiology images and wearable sensors. This position offers a unique opportunity to work closely with clinicians on applications of machine learning