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].. [1] Salomonsen, C. "A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal [18F]FDG PET imaging. " EJNMMI Research, 2026. [2] Thomas, S
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, Colorado at the Anschutz Medical Campus (AMC). The Assistant Research Professor will be an active participant in research regarding behavioral oncology, working closely with the Cancer Prevention and Control
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architects to advance the University's strategic U-M Net Cellular service, communications systems architecture for building automation and access control, and related service initiatives. You will join a team
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an inclusive community of dedicated problem-solvers who hold themselves - and one another - to the highest academic and professional standards. To learn more about us, please visit https://seas.harvard.edu
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strive to achieve this goal through partnerships, education and the balanced use of effective controls that align with the University's responsibilities and mission. About the Position: The IT Security
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, parental leave, and holidays Comprehensive insurance options, including medical, dental, vision, and life coverage Employee and dependent scholarship programs to pursue higher education Robust retirement
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insurance options, including medical, dental, vision, and life coverage Employee and dependent scholarship programs to pursue higher education Robust retirement plans with university match Learn more about
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scholarship programs to pursue higher education Robust retirement plans with university match Learn more about working at UNL: https://go.unl.edu/aboutus As an EO employer, the University of Nebraska considers
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implement robust project management and reporting frameworks to meet the deliverables of international awards and subawards outlining key elements and timelines, dependencies, and resources required
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 23 days ago
models for modeling radionuclide migration in crystalline host rocks # Perform uncertainty quantification of machine learning and surrogate models with respect to traceability, robustness and