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systems) team, which teaches and researches practical cybersecurity, cybersecurity for distributed systems, AI in cybersecurity, and distributed systems. SDS has participated, or is currently participating
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execute UCSF's vision while modeling UCSF's culture and values. The final salary and offer components are subject to additional approvals based on UC policy. Placement within the salary range is dependent
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or questions regarding FWS funds, please contact American University's Office of Financial Aid. Important guidance for current American University employees: American University current employees, including
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Senckenberg Gesellschaft fuer Naturforschung | Frankfurt am Main, Hessen | Germany | about 4 hours ago
collaboration with the Sandra Steiger research group (University of Bayreuth), Peter Biedermann (University of Freiburg), and a joint modelling project located at the Dirk Metzler group (LMU Munich) and Mark
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of how different road users, and especially KWGs, interact at the micro level - an area where current macro analyses fall short. Your role as a researcher with us is crucial to fill this gap and
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Postdoctoral Positions for Computational Genomics, Cancer Genetics, and Translational Cancer Biology
biomarkers (IGR burden, TAA burden, IMPREG signature) for immunotherapy patient selection, especially for TMB-low and PD-L1-negative cancers where current tools fall short. AI-powered precision oncology: Build
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and supportive Laboratory of Organic Electronics (https://www.liu.se/loe ). LOE currently has >150 researchers and research students across thirteen group sharing an open lab environment for fruitful
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of immunoglobulin production shape the survival of normal and malignant plasma cells. Using in vitro plasma cell differentiation systems, mouse models (9), and advanced molecular and cellular technologies (10), we
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position The Structural Mechanics group (https://www.ntnu.edu/kt/research/sm ) is
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to transform the way environmental and social data are integrated into fisheries management by combining advanced ocean forecasting, species-specific modeling, and social science to develop adaptive strategies