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process). Further exploration of adversarial learning strategies for ensemble generation to provide an out-of-the-box solution for cell-type deconvolution which provides error estimates are planned. Second
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. This includes both implementing pistemic uncertainties (model uncertainties) and aleatoric uncertainty (stochastic errors from the measurement process). Further exploration of adversarial learning strategies
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seek a motivated and highly qualified PhD candidate to join our team. About the project/work tasks The PhD-project will focus on processes related to shelf break exchanges in the Southern Weddell Sea
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career-promoting work (e.g. teaching at the Department). We seek a motivated and highly qualified PhD candidate to join our team. About the project/work tasks The PhD-project will focus on processes
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subjected to the regulation for export control system. The regulation will be applied in the processing of the applications. About the PhD Research Fellow position: About the PhD fellowship: The fellowship
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system. The regulation will be applied in the processing of the applications. About the PhD Research Fellow position: About the PhD fellowship: The fellowship will be for a period of 3 years, with
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using Python, R, Matlab, Julia or similar is required. Knowledge of energy systems, energy system modelling or the European energy market will be an advantage. Understanding of atmospheric processes
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, energy system modelling or the European energy market will be an advantage. Understanding of atmospheric processes important for renewable energy production and production variability will be an advantage
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based on magnetic resonance imaging (MRI). The PhD candidate will work on a project where the goal is to develop methods (acquisition and processing) within diffusion-weighted MRI for characterization
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collaborations is focused on development of diagnostic methods based on magnetic resonance imaging (MRI). The PhD candidate will work on a project where the goal is to develop methods (acquisition and processing