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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 Stone Age to the present day and is often organised in thematic modules, covering for example gender, social inequality, human-environment interaction, technology and migration, and focusing on different
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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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-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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similarly to our current academic staff. This includes teaching and supervision of bachelor and master students, as well as supervision of at least one PhD student in order to achieve the required
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thematic modules, covering for example gender, social inequality, human-environment interaction, technology and migration, and focusing on different methods and kinds of sources, such as rock art, settlement
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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