60 phd-rehabilitation-engineering-computer-science uni jobs at Technical University of Denmark
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substantial opportunities for collaboration with industrial and academic partners in bioenergy, water technology, hydrogen production, and sustainable fuel sectors. You will engage with materials scientists
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and applied research within power electronics, converter-based power systems and IC design – all contributing to the green transition and a sustainable future as well as technology for improving
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your daily work life a position in the forefront of technology and with excellent options for competence building and personal development an opportunity to carry out work that can make a difference in
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technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position. DTU Health Tech With a vision to improve
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conferences. Teach and supervise graduate students at both MSc and PhD levels and contribute to the development of the curriculum in food science, engineering, and related fields. Engage with industry and
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Job Description We seek a Tenure Track Assistant Professor on sizing and operational optimization of multi-technology renewable hybrid power plants. You will perform high-impact research in
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element is the role of technology and its interaction with industry and individuals. The department offers a wide range of courses and programs at bachelor, master, and PhD levels across DTU's study
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engineering, operations research, computer science, economics, or a related field. You must have demonstrated track record with publications in recognised and leading journals based on experience in developing
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Job Description The Department of Civil and Mechanical Engineering at Technical University of Denmark (DTU) invites applications for the position of tenure track assistant or associate professor in
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. Responsibilities and qualifications Qualifications: PhD degree in Engineering, Physics, Computer Science, or Applied Mathematics. Proficiency in scientific programming with Python. Excellent oral and written