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, data sciences, applied mathematics, statistics, operations research, control, electrical engineering, energy systems, cyber security, or related fields Knowledge of privacy-preserving mechanisms
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in the group of Niels Engholm Henriksen (https://www.kemi.dtu.dk/english/research/physical-chemistry ). You must have a solid foundation and interests in quantum chemistry, applied mathematics
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digital twins to replace hands-on training? Do you want to engage in a career within didactics of STEM (Science, Technology, Engineering and Mathematics) education? This PhD project is a part of the ACCESS
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in computer science or applied mathematics and a strong interest in electrochemistry, molecular modeling, and sustainable energy technologies. Experience with computational methods, data analysis
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algorithmic solution development. The group focuses particularly on automated decision-making in autonomous cyber-physical systems, combining mathematical optimization, machine learning, and decision theory
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in Demography, Social Science, Economics, Mathematics and Economics, Public Health, Statistics or similar. Furthermore, we expect applicants to: Have strong English skills, both spoken and written. Be
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-year Master’s degree (120 ECTS) in Computer Science, Machine Learning, Applied Mathematics, Operations Research, Engineering, or a closely related field, with strong programming skills and interest in
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. Responsibilities and qualifications Your project will centre on Pontryagin's maximum principle (PMP), a mathematical result originally used to design control profiles for aircraft. You will build on recent results
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production networks into mathematical formulations (Linear Programming or others) to find solutions. Experience (via master’s project or/and experience) with Techno-Economic Analysis (TEA) and Bioprocess
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16 Jan 2026 Job Information Organisation/Company Technical University Of Denmark Department DTU Wind Research Field Engineering Computer science Mathematics Researcher Profile First Stage Researcher