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position is offered at DTU, in the Department of Computer Science and Applied Mathematics, at the Visual Computing Group, and will work closely with researchers from the Royal Danish Academy. The position is
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geometry, providing a new theoretical framework and developing practical methodologies accordingly. Qualifications The nature of the project suggests that you should be interested in the mathematical and
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in mathematical, mechanical and programming contexts You are eager to elaborate on the newest research results, improve the ideas, and test them by implementation Your research will include extending
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ideal for candidates with a PhD in simulation, mathematical modelling, machine learning, and related areas. The project is entirely funded under the Novo Nordisk Data Science Distinguished Investigator
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) for ongoing lab projects. The candidate should have a two-year master’s degree in Bioinformatics, Computational Biology, Biostatistics or in a related quantitative field (e.g. Mathematics, Physics, Statistics
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physics, applied mathematics, computer science or related fields. A track record of publishing interesting work within some of those field. Experience with modeling complex networks or graphs is required
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projects. Their backgrounds are as diverse as are those of the PIs of the Centre, from physics and mathematics to biology and chemistry, and we spend considerable effort developing cross-disciplinary
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are looking for excellent applicants with MSc background on Economics, Behavioural Modelling, Applied Mathematics or Quantitative Environmental Modelling with the interest and ambition to pursue PhD studies in
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, race, religion or ethnic background are encouraged to apply. DTU Compute is an internationally unique academic environment spanning the science disciplines: mathematics, statistics and computer
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applicants must have: PhD degree in physics, astronomy, mathematics, engineering, chemistry or similar. Experience with static magnetism (magnetostatics) as gained e.g. from physics courses in electromagnetism