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project “HEXAL” funded by the Research Council of Norway. The candidate for this PostDoc position will conduct research on aluminium extrusion, optimizing die design and the process itself for complex
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data—into interpretable spatiotemporal risk models. A key methodological component could be the use of INLA for efficient inference in latent Gaussian models, and the candidate will contribute
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data sources—such as climate, environmental, and health surveillance data—into interpretable spatiotemporal risk models. A key methodological component could be the use of INLA for efficient inference in
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enhance and/or use NHM’s physical and digital collections, ideally both Expectations of the postdoc: Carry out the project proposed in the application within the employment period Participate and contribute
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at least two of NHM´s research groups enhance and/or use NHM’s physical and digital collections, ideally both Expectations of the postdoc: Carry out the project proposed in the application within
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CO₂ emissions, and enhance resource efficiency. A DPP, serving as a core data element of the circular economy, is a publicly accessible record that provides information about a product’s lifecycle to
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in the research group for Algebra at NTNU. About the project The position is part of the project “Monomorphism categories, finite abelian groups, nilpotent linear operators, and the Birkhoff problem
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highly interdisciplinary environment that combines approaches from computational physics, machine learning, neuroscience, and gene technology. The postdoc is expected to contribute to develop machine
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are looking for an ambitious scholar interested in researching user experiences with AI in the news media. The postdoc will form part of the team for the project “IMAGINE: Citizen perceptions of AI in everyday
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researching user experiences with AI in the news media. The postdoc will form part of the team for the project “IMAGINE: Citizen perceptions of AI in everyday media life”, funded by The Research Council