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differences suggest an environmental component in additional to genetic risk factors. Prenatal exposure to endocrine-disrupting chemicals is believed to contribute to environmentally induced disturbances in
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; mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; causal inference and time-to-event analysis; and statistical machine
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archaeology, and material culture from a long-term perspective. The Department of Natural History conducts research in systematics and taxonomy, evolutionary genomics, phylogeography, population genetics, and
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and antibiotic resistance. The Doctoral Candidate will study how bacteria respond genetically and phenotypically to antineoplastic drugs, identifying patterns of cross-resistance and sensitivity between
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of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning
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Sustainable Energy AS. Duties of the position The technical work tasks concern: Development of smart algorithms and modules for load prediction and minimization of fuel, energy, and emissions for marine vessels
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of structures, facilitating a form-finding process driven by FEM analysis. Training deep learning algorithms to suggest multiple structural concepts tailored to specific boundary conditions. Expanding FEM
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, genetically modified, and disease-derived organoid models. Animal Work: Conduct mouse studies related to inflammation, tumor development, and organoid isolation. Maintain and manage mouse colonies. Experimental
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high-Arctic Svalbard and other Arctic regions, the wintercress (Barbarea vulgaris) is an established alien species. Hypotheses for its success include multiple introductions from different genetic
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a data infrastructure to study the connection between environment, genes, and mental health. It will gather and organize large collections of data on people's health, environment, and genetic