64 postdoctoral-image-processing-in-computer-science PhD positions at Technical University of Denmark
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optimize the impacts of food production, processing and consumption on both the environment and nutritional health, combining nutritional and health sciences with life cycle assessment and absolute
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areas: Knowledge of computer science and operations research Familiarity with renewable energy systems and their challenges Proficiency in programming languages such as Python or Julia Strong problem
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computational science, polymer chemistry, materials science, or environmental science (ideally a combination of one or more of these). Strong analytical skills. Excellent communication skills in English, both
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candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules
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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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. For information about our enrolment requirements and the general planning of the PhD study programme, please see DTU's rules for the PhD education . We offer DTU is a leading technical university globally
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traditionally relied on discrete active and passive components, with manufacturing processes remaining largely unchanged and labor-intensive. As part of the ERC project H3PMAG, this project aims to develop
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Job Description The Centre for Technology Entrepreneurship at DTU (DTU Entrepreneurship) invites applicants for a 3-year PhD position on “Early-stage financing of university spinouts”, starting in
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to obtain) a master's degree in physics, astronomy or engineering. Applicants with previous experience in observational astrophysics, strong programming skills and knowledge relating to data reduction
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Job Description Are you passionate about startups, science-based innovation, and entrepreneurship? Do you want to contribute new insights into how deep tech ventures scale and succeed? In