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learning, epigenomic data, and mechanistic modelling. The mission is to contribute to the development of predictive models of the replication initiation probability landscape (IPLS) from limited experimental
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fully understand the methods and the models (MILP, SAT or CP), develop models dedicated to other block ciphers or integrate the new models into a dedicated tool such as TAGADA, CLAASP or another tool
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, global health, and artificial intelligence-assisted systems modeling. More information about the lab and its projects is available at https://gyorilab.github.io. About Khoury College We invite you to join
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 8 days ago
ocean models, available in-situ data, and satellite observations. The study builds on analyses from a consortium of models, such as Estimating the Circulation and Climate of the Ocean (ECCO, http
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-driven mathematical modeling in a transdiagnostic clinical cohort. https://impact-mh.org/awardees/impact-mh/ IMPACT-Y is collecting repeated measures from approximately 2,400 individuals across multiple
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flexible ecological modelling tools to help EU authorities design and optimize effective nature restoration plans. The postdoc will model species distribution at fine scale using advanced Species
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | about 7 hours ago
models to detect, monitor, and predict subtle cognitive impairment and future change Supporting ongoing data collection in local and national research cohorts, including monitoring
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the results. The Postdoctoral Associate will be responsible for summarizing the findings in the form of presentations and manuscripts. The Postdoctoral associate should have expertise in mouse models of human
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immunotherapies for cancer patients with brain metastasis. Our group works at the interface between immunology and cancer biology combining the use of preclinical models of cancer and human samples with state
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gliomas. The project integrates generative AI, interpretable models, uncertainty estimation, and federated learning to improve clinical decision-making, data privacy, and personalized medicine