230 computer-science-intern-"https:"-"https:"-"UCL" Postdoctoral positions at Nature Careers
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About us The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Humanities, Education and Social
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%) journals and collaborating with fellow postdocs on high-quality publications Your profile PhD in Robotics, Mechatronics, Computer Science, Mechanical Engineering, Electrical Engineering, Aerospace
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international researchers and their families, including Relocation Service and an Expat Partner Programme Living and working in Denmark Subsidised childcare and free education from primary school through
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, computational mechanics, computer science, applied mathematics or similar Strong experience with deep learning, e.g. PyTorch, JAX, TensorFlow, and probabilistic methods Familiarity with graph neural networks
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Postdoc in Decoding Biological Nitrification Inhibition (BNI) in Cereals: Integrating Metabolomic...
competitive national and international research applications Experience in planning and conducting laboratory work within metabolomics, molecular biology and microbial ecology Experience in planning and
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main research and teaching activities in bio-medical and bio-technological informatics, metagenomics, epidemiology, integrative systems biology and machine learning. The research at DTU Bioinformatics is
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systems. Your Responsibilities: The Postdoctoral Researcher will play a key role in designing and conducting experiments aligned with stage-gated milestones in our plant engineering program. The main
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computing capacities as well as an extensive national and international researcher network. The department consists of nine research sections with around 350 highly skilled employees, of which approximately
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friendly atmosphere of large and interacting communities for e.g. structural biology, molecular cell biology, computational biology, neurobiology, and molecular medicine that encourages lively, open, and
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experimental and theoretical groups with complementary expertise in model organism genetics and cellular phenotyping, single-cell genomics, statistics, and computational biology. Building on our combined