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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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PhD position on Closed-loop testing for faster and better EM evaluation of complex high-tech systems
). The expected results are to create a new standard for automotive testing using RC, including VIRC. Update of IEC 61000-4-21 for large system testing. Information and application Are you interested in this PhD
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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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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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postdoctoral researcher, you will use various techniques to investigate fiber-reinforced structures in nature (i.e., fungi), including additive manufacturing, computer simulations, materials testing, and
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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
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planning and control concepts to organize customization in secondary education. A large groups of schools and other external partners provide the opportunity for interfacing research and implementation
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Agency for the Space Programme and the GOVSATCOM operator. Technical competencies Knowledge of and experience in system architecting in large, complex projects and teams, including security aspects