53 postdoctoral-position-in-molecular-dynamic-simulation-self-assemble-polymer PhD positions at Technical University of Denmark in Denmark
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group dedicated to protein-based solutions for sustainable development. Responsibilities and qualifications The overall role of the position is to lead and drive an innovative research group focused
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implied, the RIGOLETTO project will prepare the way for further exploiting the potential of RISC-V ISA (instruction set architecture) as a key technology to address the demands in the context of future
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control, open-source background checks may be conducted on qualified candidates for the position. DTU Civil and Mechanical Engineering develops and utilizes science and technical knowledge for the benefit
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period of employment is 3 years. Starting date is 1 September 2025 (or according to mutual agreement). The position is a full-time position. You can read more about career paths at DTU here . Further
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of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years. Starting date is 1 September 2025 according to the mutual agreement. The position is
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on enzyme kinetics and stability measurements. The team have access to labs equipped with alternative reactors and excellent analytical equipment. Responsibilities and qualifications The position includes
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Job Description The Department of Technology, Management and Economics at DTU invites applications for a PhD student position on the topic of using AI to reduce stochastic problems. You will be
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European Marie Skłodowska-Curie Action Doctoral Network CoDeF . Four of the PhD positions of the network are located in and around Copenhagen. Your main supervisor will be Professor Lena Kitzing and you
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of the positions will be located in Roskilde. More information on AWETRAIN is located here . Your main supervisor will be Senior Researcher David Rudolph and you will join the PhD School at DTU Wind and Energy
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Job Description DTU Electro invites applications for a position as a PhD student in machine learning enabled fibre-optic communication systems employing multi-core fibres within the Villum