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experimental security (FSec Group: https://vu.nl/en/about-vu/faculties/faculty-of-science/more-about/found… ), with a focus on Cloud computing, the use of data analysis and AI techniques to quantify, evaluate
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. Duties Within the Data Science Section, you will be responsible for: supporting the definition and implementation of the architecture for a hybrid-cloud science platform (expanding ESA Datalabs - https
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simulations. You’ll be part of a five member ERC team (PI, technical/data engineer, postdoc and two PhD students—observations & modelling) in Dr Louise Nuijens’ broader research group. Job requirements We
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, privacy, and resilience. Today’s Transformers models scale poorly and assume abundant cloud resources. The research program FIND aims to deliver architectural and algorithmic breakthroughs that enable
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the next generation of managers as they investigate the opportunities presented by data analytics (machine learning, deep learning, data mining) and new information technologies (platforms, cloud computing
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on-device AI to ensure low latency, privacy, and resilience. Today’s Transformers models scale poorly and assume abundant cloud resources. The research program FIND aims to deliver architectural and
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observational, simulated, or laboratory data sets Efficient use of high-performance computing (HPC) and cloud-based platforms (Near) real-time analysis of large or streaming data Data management, archiving, and
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-information Science and Remote Sensing; you collaborate with colleagues and supervise PhD students, BSc and MSc theses and you develop and teach courses; you contribute to the further development of the Laboratory