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intelligence within grid-connected power converters and variable-frequency motor drives with edge computing and machine learning capabilities. We offer a multidisciplinary, international, and friendly atmosphere
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Engineering (ESE) is one of the 10 research section of DTU Compute. Our mission encompasses the creation of insights that allow the development of context-aware, distributed, and embedded cyber-physical
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”, affiliated with the Danish Innovation Index (DII) at the PhD Programme Management, and will establish the Danish Innovation Index as a research excellence group at the Department. The positions are available
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systematic investigations of charge state distributions, fragmentation behavior under collisional- and electron-based dissociation, and differentiation of peptide isoforms and PTMs using negative ion mode
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of conservation biology and wildlife management, aquatic biology and ecology, and biodiversity. The Department currently employs approximately 275 academic and technical staff, as well as PhD students, distributed
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of machine learning Distributed and federated training The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics
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to empower the scientists and accelerate their discovery and innovation. Metabolomics Rodent Metabolic Phenotyping Single-Cell Omics Data Analytics Genetic Perturbation Computational Chemistry Read more about
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an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
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educational offerings and prepare case descriptions Share your own EuroTeQ experiences with fellow DTU students Prepare and execute events, including EuroTeQ Day Develop and distribute communication materials
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outputs, e.g. via computational linguistic analysis of output space distributions Linguistically motivated methods for analysing and securing LLM behaviour, including, e.g., LLM misbehaviour and