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Field
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will work with data collected from the field to the spatial scale, and investigate spatial optimization approaches to improve the model parameterization at the spatial scale. We expect that you will be
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: This position may require work beyond normal office hours and/or work on weekends Qualifications Required Education Appropriate PhD in a related field. Preferred Qualifications Prior experience in computational
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insights for folding pathways and kinetics. There is an exciting opportunity to advance the state-of-the-art in this field, which would have important and wide-ranging impacts. Training. PhD thesis in
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represent? Why do over-parameterized models trained with simple optimizers generalize so well? We explore these questions through the lenses of statistical learning theory, optimization theory, and
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controlling atmospheric composition, the detailed processes controlling this exchange are not well understood and highly parameterized in models. Long-term eddy flux observations, which are very limited world
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biodiversity. Specifically, the primary focus of the PhD will be to analyse and parameterize models describing the ecological and evolutionary dynamics of small and fragmented populations, and how the risk of
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) we are looking for a m/f/x PhD – Integrated Environmental Sustainability Assessment of Offshore Wind Farms. Doctoral fellow YOUR JOB We welcome applications for a full-time PhD position within
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specifically: implement sediment deposition and resuspension in the model couple existing sediment biogeochemistry sub-models with the ocean model contribute to improved parameterizations of sediment
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on the coupled thermodynamic, kinetic, and transport processes taking place in the cell. In addition, the successful applicant may contribute to the design of experiments for parameterization of material-level