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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 12 days ago
to): Develop machine learning algorithms that utilize fire products from geostationary satellites to better represent fire evolution and variability Develop machine learning emulators to represent forward
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-controlled subsystems. Hands-on expertise in one or more of the following areas: optical systems, lasers, spectroscopy, quantum optics, spin physics, magnetic resonance, precision measurement, electronics
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is home to a consortium of postdoctoral fellows who provide modeling expertise for a wide range of projects as integral members of those research teams. Unit URL https://imci.uidaho.edu/ www.uidaho.edu
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) Cleaning and managing large datasets from administrative data sources or online learning platforms Causal machine learning (e.g., double/debiased machine learning (DML), causal forests, generic ML) Learning
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Insurance Programs No Annual Leave No Sick Leave No Position Description Advertised Job Summary This is a Postdoctoral Associate position in the area of mathematical foundations of data science and machine
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mentorship team with clinical, epidemiological, machine learning, and statistical expertise. The position is funded by a grant from the NIH/NIAID (R01AI135114), though opportunities for additional projects in
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care for patients requiring urgent or emergent intervention. The fellowship provides comprehensive training in data engineering, exploratory analysis, statistical modeling, machine learning, and artificial
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they have applied. For general application assistance or if you have questions about a job posting, please contact Benita Norwood at [email protected]. Department: Academic Department's Website: https
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Position Summary We are considering the applications of a postdoctoral research fellow in neuroimaging, artificial intelligence (AI), and statistical genomics. This exciting career-building position
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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other