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biomarker data. Develop predictive models and algorithms to identify risk factors, disease markers, and potential therapeutic targets for Alzheimer’s disease. Implement machine learning models to improve
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development of new computational and mathematical models to quantify and predict infectious disease risk, particularly for identifying high risk individuals and groups. The PDRA will translate conceptual
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for robotics, perception, prediction Computer vision and data acquisition System modelling and control JUNIOR RESEARCHER – Responsibilities Participate in R&D tasks across ongoing projects Support experimental
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for robotics, perception, prediction Computer vision and data acquisition System modelling and control SENIOR RESEARCHER / LABORATORY LEADER – Responsibilities Lead one of the robotics laboratories (assignment
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, we aim to create autonomous “self-driving” microscopes that: build statistical models of biological dynamics in real time predict the most informative next experiment execute it automatically on living
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will generate synthetic data from personal data to mitigate scarcity in rare diseases. This will facilitate data availability for further development of predictive models, thereby enhancing the quality
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, and clinical data to advance understanding and prediction of dementia and related psychiatric disorders. The postdoctoral position is part of the “ResiliDem” project and the “Talent Utland” program
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by investigating decomposition processes under controlled conditions to unravel the mechanisms of peat decomposition, identify the main actors and predict the interaction between these actors and their
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 10 hours ago
Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign Nationals eligible
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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