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position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement
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affecting seagrass distribution Hydrodynamic model-based assessments of the drivers of changes in seagrass locations and losses, such as extreme events Spatial analysis of areas where seagrass should be able
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4‑year PhD position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and
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Management (SLUSE) IPB: Natural Resources and Environmental Sciences (NRES) UPM: Environmental Biotechnology/Environmental Engineering/Environmental System and Modeling UGM: Planning and Management of Coastal
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an existing coastal ocean model with an existing wave model and extend it by a module for sediment transport. Continuously collected field data and satellite remote sensing data will help you validate the model