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Engineering, Machine Learning, Artificial Intelligence, Computational Linguistics, or a related field) • Strong programming skills (e.g., Python) • Strong skills in machine learning, deep learning and modern
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Transport Systems (ITS) section of the Transport Division, Department of Technology, Management and Economics (DTU Management), at DTU. Responsibilities and qualifications Your primary tasks will be
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complete, a master’s degree in computer science, mathematics, statistics, IT, engineering, biotechnology, bioinformatics, economics, or a related field. Experience with programming in Linux environments
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. You must hold a two-year master's degree (120 ECTS points) in Food Technology or a similar degree at the equivalent academic level. Furthermore, the ideal candidate has: Completed a relevant master’s
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this challenge, the Faculty of Engineering's Department of Built Environment and Doctoral School of Engineering and Science offers a PhD stipend. The stipend is open for appointment within the doctoral programme
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inclusion at its core. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified
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, race, religion or ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background
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of microbiology, food technology, and bioengineering, contributing to innovative solutions for the nutritional challenges in plant-based diets. Throughout the project, you will collaborate with other Doctoral
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ethnic background are encouraged to apply. As DTU works with research in critical technology, which is subject to special rules for security and export control, open-source background checks may be
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-year employment is funded by the Energy Technology Development and Demonstration Programme (EUDP) and aims to deliver a standardised, robust, and scalable subsea electrode unit for HVDC systems. The PhD