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performance computing numerical methods in our state-of-the-art open source micromagnetic model, MagTense. MagTense is based on a core implemented in the Fortran programming language, and it relies
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and machine learning Serious gaming (incl. AR/AV/VR) and Automation and robotics, incl. human-machine interaction Having experience in publishing scientific results as well as working with industry is
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modelling, preferably WRF Experience of scientific programming and running code on HPC systems Experience with Fortran, Python and Linux Shell Any of the following is advantageous but not essential
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of scientific articles. Teaching is not required as part of this position. Daily work will be conducted in English, and familiarity with Danish is not necessary. Required qualifications PhD in pertinent field
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research in peer-reviewed journals and presenting at international conferences We are looking for a candidate with: A PhD in oceanography, climate science, applied mathematics, computational science, or a
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project supported by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases”, led by Prof. Daniel Merkle. The expected starting
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on the intersection of data science, statistics and machine learning, all with applications to wind and solar energy science. You will be a part of an international team developing tools to plan and operate hybdrid
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Biology, Neurobiology, RNA Biology and Innovation, Protein Science, Cellular Health, Intervention and Nutrition. There are currently 75 full time scientific staff and 95 PhD students. The department is
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) and the successful candidate will be part of a larger interdisciplinary consortium. The research group has a newly renovated lab space with excellent facilities for protein science research. There will
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participate in funded research projects. Publish in high-impact scientific journals and conferences. Contribute to teaching activities within the section. Supervise PhD, Master, and Bachelor students in related