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, geometry, physics, and mathematical modelling is a prerequisite. Knowledge of optimization and machine learning techniques is an advantage. Applicable for all scholarships You must have a two-year master's
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techniques. Located in the Intelligent Transportation Systems group in DTU (http://mlsm.man.dtu.dk ), this role is ideal for candidates with a PhD in simulation, mathematical modelling, machine learning, and
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or in a related quantitative field (e.g. Mathematics, Physics, Statistics), with documented experience in analysing, interpreting bulk and single-cell sequencing datasets. Prior experience with data
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dissemination activities, and carry out research activities. Qualifications To be considered for the position, you need a solid background in: natural sciences (mathematics and physics), demonstrated proficiency
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, and you are eager to apply these skills to tackle challenges, this is your opportunity. Responsibilities and qualifications As part of the selection process, you will collaborate with your supervisors
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within magnetism. Qualified applicants must have: PhD degree in physics, astronomy, mathematics, engineering, computer science or similar. Experience with numerical methods, preferably within open source
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the Management Science Division, the research ranges from mathematical-based optimization models to process-oriented management models and is used in basically every sector, such as transport, energy
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is DTU Risø Campus, Roskilde, Denmark. Some travelling can be expected. The position is part of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read
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negative externalities of transport. The division is interdisciplinary with scholars from transportation engineering, economics, psychology, computer science, machine learning, mathematics, and statistics
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opportunity to join DTUs Department of Chemical and Biochemical Engineering (DTU Chemical Engineering) in the development and study of a process for conversion of methanol to jet fuel. The overall process