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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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conducted on qualified candidates for the position. DTU Compute DTU Compute – Department of Mathematics and Computer Science – is an internationally recognised academic environment with over 400 employees and
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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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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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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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position, please contact Professor Farshad Moradi (moradi@sdu.dk / email ), Head of the SDU Microelectronics section and Associate Professor Hooman Farkhani (farkhani@sdu.dk / email ), Deputy Head of