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within CSSR at the Department of Physics and Technology. Specifically, it is envisioned to develop and analyze new mathematical and numerical methods for processing 4D spatial and temporal data
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of Atlantic Water in the Norwegian Sea and Fram Strait, where the warm and saline waters flow poleward and partly recirculate in a complex current system under varying physical controls and processes
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complex current system under varying physical controls and processes. The successful candidate will investigate processes on scales from mesoscale eddies to small-scale turbulence and mixing. This includes
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. The postdoctoral research fellow will contribute to the conduction of the trial together with a multidisciplinary team of clinicians, researchers, engineers, PhD students, statistician, and user-representatives
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health monitoring. Opportunities include integrating multi-omics data from iPSC-derived adrenocortical and ovarian organoids to enhance model precision. The fellow will contribute to feature engineering
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-derived adrenocortical and ovarian organoids to enhance model precision. The fellow will contribute to feature engineering, model validation, and optimizing AI methodologies for clinical implementation
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contribute to feature engineering, model validation, and optimizing AI methodologies for clinical implementation. About the LEAD AI fellowship programme LEAD AI is the University of Bergen's career and
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computer science faces a fundamental challenge: the current tools fail to explain the effectiveness of heuristic approaches. This phenomenon is demonstrated by a multitude of examples, ranging from the prevalence