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materials, catalysis and/or surface science. For Topic 4, candidates must have documented skills within computational modelling of atomistic processes. Experience in scientific programming, e.g. using Python
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feature annotation using Metaboscape and other platforms. Collaborating with the Bioinformatics Core Facility, directed by Associate Professor Per Qvist, and other computational biologists to exemplify
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-disciplinary project called Risk-assessment of Vector-borne Diseases Based on Deep Learning and Remote Sensing and involves close collaboration with Department of Computer Science, University of Copenhagen
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with Bioneer, DTU Bioengineering, DTU Health Tech, and KU, DTU Compute is aiming to create a shared data framework and platform to pioneering models and methods with applications to stems cells
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Denmark. The project is led by Associate Professor Kim Andersen and includes Associate Professor Lene Heiselberg, Professor David Nicolas Hopmann, a PhD student, and the postdoc. The postdoc will work
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spintronic-based computing. The position offers an exciting opportunity to join a cutting-edge research project focusing on the co-design of CMOS and spintronic devices for next-generation energy-efficient and
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Dilemmas in Combatting Group Inequalities” funded by the Independent Research Fund Denmark. The project is headed by Associate Professor Viki Lyngby Hvid whom the postdoc will be working closely together
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information may be obtained from Professor and Head of Research Group, Frank Aarestrup on fmaa@food.dtu.dk or Associate Professor, Philip Thomas Conradsen Clausen plan@food.dtu.dk Read more about the DTU
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as possible hereafter. For more information contact Professor Tenna Riis (tenna.riis@bio.au.dk) or Assist. Prof. Johnna M. Holding (johnna@ecos.au.dk). Post doc 2: Glaciers are melting