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projects on our Epic electronic health record platform. You will focus on integrating AI and predictive models into the Epic platform, enacting and facilitating standardized intake, design, and
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development of model predictive control algorithms for autonomous robots. Key Responsibilities: Development of model predictive control algorithms for autonomous robots Job Requirements: A Master degree in
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, Python, and SAS or Stata) • Demonstrated expertise in causal inference and high-dimensional risk adjustment/predictive modeling, experience with Medicare claims data • Clear scientific writing and
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of atmospheric dynamics, climate and weather prediction models and earth system modelling), and Space Sciences (meteoroid modelling and composition, atmosphere-meteoroid interaction and cosmic dust) Knowledge in
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, and ambitious researcher committed to accelerating the green transition by advancing adaptive materials, predictive modelling, and autonomous maintenance solutions. You thrive on scientific discovery
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analytics, predictive modeling, and related fields. We welcome applicants committed to addressing complex challenges in sport analytics, tourism analytics, human performance, and related fields. Candidates
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can support prediction of many different clinical outcomes at once. To fuel your models, you will have access to one of the largest multicentre ICU resources to date (~1M patients, ~33B clinical events
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Predictive Model” project financed from the funds of Priority 2 of the European Funds for a Modern Economy Program 2021–2027 (FENG) Action 2.2 First Team, with the Intermediate Institution being the Foundation
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, computational pathology, and spatially resolved multi-omics data. The system will leverage generative models like diffusion models and Variational Autoencoders (VAEs) to simulate phenomena and predict outcomes. A
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• Real Estate • Business Innovation & Technology and Communications • The Finance & Administration organization Please visit the UW Facilities web page for more information: https://facilities.uw.edu