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information from clinical notes ? Implementing machine learning models for prediction and classification tasks in cardiovascular populations ? Cleaning, preparing, and managing large healthcare datasets
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kidney disease in adults: assessment and management. Clinical guideline [CG182]. Tangri N, Stephens LA, Griffith J et al A Predictive Model for Progression of Chronic Kidney Disease to Kidney Failure. JAMA
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
neurological disorders with adult and/or pediatric patients, and with predictive testing for variable onset disorders. They should be comfortable seeing patients independently and using a variety of practice
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exploratory analysis to support research, predictive modeling, and departmental analytics needs. Contribute to machine‑learning prototype development, including running model experiments, evaluating performance
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transitions in and out of campus housing, accurate data reporting, and collaborative partnerships across departments. As part of our integrated residential education model, you’ll work closely with professional
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; machine learning methods (i.e. supervised and unsupervised learning, deep learning, reinforcement learning, etc.); artificial intelligence methods (e.g., predictive modeling, natural language processing
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brain sciences • Medical • Biomedical • Nanofluidics and microfluidics • Biomimetrics and biofilms • Social media analysis and predictive modeling • Molecular, cellular, ecosystems, marine science, and
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predict failures before they occur: a key enabler for safer, more efficient, and lower-carbon industrial operations. The PhD will be conducted at fluiidd (La Ciotat, France) in close collaboration with CEA
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reactor modeling and accelerate the scale-up of emerging net-zero technologies? Join us at the Department of Chemistry and Chemical Engineering ! About us Our research group at the division of Chemistry and
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Engineering of Catalysts for Hydrofunctionalization Reactions: From Selectivity Control to a Predictive Model” project financed from the funds of Priority 2 of the European Funds for a Modern Economy Program