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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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, product management work, and and leadership responsibilities • Familiarity with artificial intelligence and machine learning approaches, including predictive modeling and precision analytics applied
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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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applications in advanced manufacturing and defense. This is a DMEx funded project. Predicting these mechanisms is a complex mathematical problem that involves the solution of a framework which captures the
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. The models will be used to predict dynamic responses to stressors, sleep disruptions, and diagnostic tests, as well as the long-term changes that occur during disease. A key challenge of your work will be
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, case-control studies, cohort studies, structural equation modeling, geospatial modeling, missing data, population-level risk prediction, and measurement errors Community-based research, health
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. Specific Requirements Knowledge: Data sciences. Artificial Intelligence. Behavior models based on the data obtained on the topic at hand. Professional Experience: AI models that predict the Earth's CO2
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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
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
to perform disease modeling and critical analytics in response to infectious disease outbreaks. Duties will include helping to implement predictive and analytic models of infectious disease using Python and R
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efficiency and lifetime predictions under realistic operating conditions. Validating the developed models using experimental data from drivetrain test benches equipped with load, temperature, vibration, and