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carbon sinks dynamically evolve under climate change. The postdoc will work on improving and applying the land surface model CLM (Community Land Model) that is used in the Norwegian Earth System Model
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effective climate policies as Norwegian and European carbon sinks dynamically evolve under climate change. The postdoc will work on improving and applying the land surface model CLM (Community Land Model
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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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combines approaches from computational physics, machine learning, neuroscience, and gene technology. The postdoc is expected to contribute to develop machine learning models for the construction
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learning models for the construction of constructs and capsids using combinations of discriminative and generative methods, methods for protein structure prediction and docking simulations. The successful
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challenges like AI, fake news, echo chambers and political polarization. The results are new digital tools, analysis methods and content types for the future of media. The center also performs research
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important part of the mission of SecurEL. The PhD candidates funded by the Centre will contribute with cutting-edge knowledge and research. Overall, the Centre will directly finance 17 PhD and postdoc
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); mathematical modelling of cancer; probabilistic modelling and Bayesian inference, stochastic algorithms and simulation-based inference; and statistical machine learning. More about the position The position is
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Recognised Researcher (R2) Positions Postdoc Positions Country Norway Application Deadline 11 May 2025 - 23:59 (Europe/Oslo) Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Is the job
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the mission of SecurEL. The PhD candidates funded by the Centre will contribute with cutting-edge knowledge and research. Overall, the Centre will directly finance 17 PhD and postdoc positions, at NTNU