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to contribute to the green transition by developing mathematical models, forecasts and/or controllers for various energy systems components? Then apply for one of these 3-year PhD positions in the section
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DTU Compute is a unique and internationally recognized academic department with approx. 400 employees and 11 research sections spanning the science disciplines mathematics, statistics, computer science
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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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Computing for the Connecting Communities Group, in the Section for Dynamical Systems (DynSys) at Department of Applied Mathematics and Computer Science (DTU Compute) at DTU (Technical University of Denmark
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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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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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to the CulturalRoad project, funded by the European Commission. We are looking for excellent applicants with a strong background in Transport, Operation Research, Applied Mathematics, Transport Engineering, and/or
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, stochastic mathematical modeling, study of multicomponent flows in porous media, or similar. You should be highly motivated, able to work independently, and should be confident in written and spoken English