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(dark matter, baryogenesis) and machine learning applications in these topics. The University of Oregon also has an experimental high energy physics group involved in the ATLAS experiment at the LHC and
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 3 months ago
PhD in computer science, mathematics, physics, bio-/medical informatics or related fields, specializing in image analysis or machine learning, proficiency in deep learning techniques (CNN, VIT
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application and machine learning. • Author of at least 2 research papers in topics related to the project. • Knowledge on advanced control systems and optimization (please attach a description of your
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learning, building networks, and upholding the university's academic excellence to make meaningful contributions to advanced research pursuits. This position will perform routine assignments related
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Position Description Position Summary: Professor Kenneth Dodge at the Sanford School of Public Policy seeks a postdoctoral research scientist to join him in conducting studies of early childhood development
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profiling, and other cutting-edge, high-dimensional tissue analysis approaches to evaluate pancreatic cancer pathology using human tissue specimens Assemble analysis pipelines using machine learning
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not only to innovative research and the highest standard of teaching, but also to creating an inclusive and supportive working environment. Overview of the role: We are seeking a Postdoctoral Research
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theory, machine learning, effective field theories, global fits, etc. The Center invites applications for a number of postdoctoral positions in theoretical particle physics (hep-ph) with a starting date in
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scholars at all levels in many scientific fields. To learn more, please visit our website: http://www.chem.tamu.edu/ We are a prestigious university with strong traditions, Core Values, and a community of
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machine learning technologies in order to provide evidence-based decision support tools in near real time across a variety of thematic domains: disaster risk reduction, sustainable agri-food systems