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contributes to improving large-scale plasma simulations that are essential for the design and optimization of nuclear fusion devices, a key step toward future sustainable energy technologies. You will conduct
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. You have a background in machine learning for spatial data (e.g., random forest, neural networks) or are open acquiring these skills. You have experience with handling large geospatial datasets and
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the Directorate BUC Office to ensure the coherence of Department and Agency procedures, data quality, and the timely submission of data/inputs requested by the BUC Office. supporting the coordination and
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MSc in Geographical Information Management and Applications (GIMA). The research conducted in the laboratory has a fundamental character, with a clear link to the mission of Wageningen University
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Your job Do you want to work in a research group that studies how insects function in their ecological setting and how they evolve? Do you enjoy working with other scientists in data collection in
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of Arts The Faculty of Arts is a large, dynamic faculty in the heart of the city of Groningen. It has more than 5000 students and 700 staff members, who are working at the frontiers of knowledge every day
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will combine BERT type models and Large Language Model (LLM) to examine research publications and patents, in combination with other unstructured data sources such as policy documents, media, call
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you eager to make AI more sustainable? As a PhD Candidate, you will develop innovative methods for predicting and reducing the energy consumption of large-scale AI systems during their design phase
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geospatial data on fisheries activities near OWFs to evaluate the distributional impacts of OWFs across different fleet segments; conducting fieldwork and surveys in collaboration with ‘NO REGRETS’ partners
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of Twente, we believe in making healthcare decisions that truly reflect the needs and values of patients. For that purpose, we are participating in a large international project dedicated to revolutionizing