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. Responsibilities: Conduct research in compilation, optimization, and analysis for time-predictable computer architecture. Co-supervise MSc and PhD students. Contribute to teaching and research proposal preparation
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our team at DTU Compute, offering a fully funded position within a dynamic and interdisciplinary research environment. The positions are part of the research project “AI-driven materials optimization
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-cell transcriptomics) A background in atherosclerosis or vascular biology, particularly smooth muscle cell biology Research environment You will be based at the newly built research facilities
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theory in a thriving academic environment @ DTU Chemistry in the greater Copenhagen area. The ideal candidate should be able to work independently, assist in the training of M.Sc. and PhD students in
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the SelSiCELL project which aims to make high performance solar cells based on selenium (c-Se) as the photoabsorber, and to make tandem solar cells based on the c-Se/c-Si architecture. The project is mostly
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of structural response models against measurements. Support the structural dynamics and multi-body modelling efforts in HAWC2. Teach and supervise BSc and MSc student projects and be co-supervisor for PhD
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of public-health professionals and PhD-students. The day-to-day work will be performed in close collaboration with other researchers in the Risk-benefit Research Group and within the project consortium
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the wider scientific community Formal qualifications You must hold a PhD degree in chemical engineering, computer science, software engineering, data science, or a related discipline. We offer DTU is a