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innovative computational approaches, leveraging finite element simulations, AI, and clinical data, to better understand the mechanisms of MR. This aims to improve patient risk stratification and treatment
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methods for integrating heterogeneous data sources—such as climate, environmental, and health surveillance data—into interpretable spatiotemporal risk models. A key methodological component could be the use
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on bio- and/or geo-diversity be hosted by 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
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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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rocks; 2) the study of microstructures of deformation in faults and shear zones. The project is carried out at the Njord Centre, the cross-disciplinary Centre for Studies of the Physics of the Earth at
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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
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Norwegian is a plus. What can we offer? Active participation in a young and dynamic research group with a good working environment and a unique dataset. Some freedom for the postdoc to develop their own