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Field
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Yang's research lab are seeking a highly motivated Postdoctoral Research Fellow in Hydrology and Water Resources. The successful candidate will conduct advanced research in hydrologic modeling, flood
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optimization problems Develop mathematical modeling framework to find the optimal operation strategy Conduct computer programming to verify the efficiency of the designed solution algorithms Analyze data
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outcomes over time using multi-state models, accounting for association amongst processes and across time. The role will involve both theoretical and computational model development, together
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hydrologic modeling and analysis. A PhD in hydrology, water resources engineering, environmental science, civil engineering, atmospheric sciences, computer science, or a related field is required either
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models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly
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, computer science, and public health, you will also collaborate with software engineers to rigorously test and containerise the developed model, ensuring it can be deployed within existing clinical frameworks
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Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number PID2024-158364NB-I00 Is the Job related to staff position within a Research
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contract will offer a dynamic research environment, access to high-performance computing resources, and interactions with experts in ocean modeling and climate sciences. Where to apply Website https
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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with the most modern infrastructure, including advanced facilities for molecular biology, nanotechnology, computational modelling, and clinical research. Research at RUG is characterised by its