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The position will be attached to the project “SURE-AI” (http://www.sure-ai.no/ ) funded by The Research Council of Norway, and lead by Simula Research Laboratory. The main focus of the research will be
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, computationally expensive, model simulations. This experimental design process is envisioned to update iteratively as new data become available to optimally infer surface fluxes across the landscape. The work will
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page to watch video, or click here to open video) About the position The position is part of the research project “Prediction of genetic values and adaptive potential in the wild (GPWILD)” (https
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shipping, identify critical criteria for integration and operation, and develop a model for simulation of the energy system. This includes normal operations, ramping, transit vs. port stay, and maintenance
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of AI/ML software libraries for non-conventional hardware architectures Physics-informed ML surrogates for efficient simulation ML-supported optimization of HPC software Jarli & Jordan/ UiO via Unsplash
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be found here: https://uit.no/staffmobility Application Please note that the application will only be assessed based on the information submitted by the application deadline via Jobbnorge. It is
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information about working and living in Norway can be found here: https://uit.no/staffmobility Application Please note that the application will only be assessed based on the information submitted by
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which also include health care services . More practical information for working and living in Norway can be found here: https://uit.no/staffmobility Application Please note that the application will only
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and targeted, computationally expensive, model simulations. This experimental design process is envisioned to update iteratively as new data become available to optimally infer surface fluxes across
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focuses on detecting underwater acoustics using AI methodologies. Additionally, CFD simulations combined with physics-informed machine learning will also be examined. Several research and industrial