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Marie Skłodowska-Curie Doctoral Network, runs from 2026 to 2030, and trains 15 Doctoral Candidates (PhD students). The DN targets developing software-defined technologies that turn edge data centers
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releases of software, trained models, and reproducible research outputs. The research methods will include experiment design, software implementation, running deep learning experiments on high
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Department of Electrical Engineering and Automation at Aalto University, Finland, within a project focused on implementing advanced models of soft magnetic materials in accurate simulation software. The
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Learning Your role and goals Trustworthy & Adversarial Computing Lab ( https://taclab.aalto.fi ) led by Sebastian Szyller is looking for a doctoral researcher (PhD student) to pursue a degree in
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also offers access to a wide suite of engineering and simulation software for electronics design, spacecraft systems modelling, structural and thermal analysis, and mission performance verification
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Otaniemi campus as the work relies on the research tunnel, the rock mechanics laboratory, and other specialised software. Your network and team You will join the Mineral-based materials and mechanics