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more than one meter to sea-level rise by the end of the century, making it a major concern for human societies and coastal ecosystems. Projections of ice sheet evolution rely in particular on model
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Forschungsinstitut and aims to reconstruct global 3-D coastal sea surface height by combining long-term satellite altimetry, high-resolution SWOT mission data, tide gauges, and ML approaches. The position offers
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modelling using existing models and using AI based tools. The focus of the work will be to cater to the needs to high voltage/power in power electronic systems, while avoiding humidity and gas exposure
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Job Description We are looking for a motivated PhD candidate to explore how fish distribution and habitats are linked across coastal and offshore waters in Denmark. The project focuses on improving
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qualifications Marine biogeochemical processes Hydrodynamic processes related to ships, turbulence, or mixing Oceanographic modelling Data analysis and programming (e.g., MATLAB, Python, or R) Interdisciplinary
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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
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introduces new and underexplored vulnerabilities to network-based threats. The goal of this research is to uncover such threats, evaluate their impact on training performance and model integrity, and develop
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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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, utilisation of natural resources, shipping, predictive modelling, or climate risk Core courses in probability and statistical inference, optimisation, microeconomics, scientific methods Elective courses in
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found in the areas of: Human-Technology Interaction Form and Function Modeling and Simulation Product Development Material Production and in the interaction between these areas. The research covers