18 modeling-and-simulation Fellowship positions at UiT The Arctic University of Norway
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different parameterizations for the sea ice redistribution transfer function Apply machine learning methods to identify optimal model parameters that can be used in large-scale sea ice simulations (either
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Stig Brøndbo 26th October 2025 Languages English English English Faculty of Science and Technology PhD Fellow in Computer Science - Accurate and Scalable Simulation of Edge Systems Apply
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transfer function Apply machine learning methods to identify optimal model parameters that can be used in large-scale sea ice simulations (either global parameters, or as a function of existing model
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. The research topic of this PhD is Accurate and Scalable Simulation of Edge Systems.You will be part of the Cyber-Physical Systems group . General information about the position. The position is for a period of
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function Apply machine learning methods to identify optimal model parameters that can be used in large-scale sea ice simulations (either global parameters, or as a function of existing model variables like
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, and curated databases into deep models, enhancing accuracy, interpretability, and robustness. Probing and steering the internal mechanisms of deep models by aligning their representations with human
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, and curated databases into deep models, enhancing accuracy, interpretability, and robustness. Probing and steering the internal mechanisms of deep models by aligning their representations with human
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in the context of a UiT grant that focuses on modeling spatio-temporal medical image analysis with a particular focus on learning from limited labelled data. The successful candidate will be a part of
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, key Arctic geological archives of past warmth and employ climate models to bring our current knowledge about a warm Arctic beyond the state-of-the-art. The major strength and aim of i2B
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“greenhouse” (warmer than present) conditions. In i2B we will retrieve new, key Arctic geological archives of past warmth and employ climate models to bring our current knowledge about a warm Arctic beyond the