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on electrolysis (SDU) as well as Danish manufacturers of both heat exchangers (Danfoss) and thermoelectric generators (TEGnology). The goal of the project is to realize an actual prototype heat exchanger that can
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, image/video analysis, or behavioral phenotyping • Handling and processing large datasets, including behavioral or imaging data • Confident use of computers, hardware/software systems, and technical
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. The group combines molecular biology, advanced imaging, mouse genetics, and translational approaches, and collaborates with international partners. The group is a part of the Department of Biology , Faculty
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Job Description Join our interdisciplinary team developing state-of-the-art 3D X-ray microscopy for life science applications. ‘Seeing is believing’, therefore at the DTU 3D imaging center we
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sustainable machine learning approaches and addressing renewable energy related projects. Likewise, deploying a novel paradigm of KGML (knowledge guided machine learning) can propel further research. PhD
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addition to laboratory facilities, the candidate will have access to advanced core technologies in e.g. cell imaging, FACS, cell sorting, confocal microscopy, animal studies, antibody generation, and biosensors. Close
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combining CRISPR-based endogenous protein tagging, advanced quantitative imaging, and biochemical approaches, this project seeks to uncover novel principles of replisome plasticity. A key long-term objective
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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