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The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the
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the 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
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can read more about career paths at DTU here . Further information Further information may be obtained from Prof. Stefan Kragh Nielsen, skni@fysik.dtu.dk . You can read more about the section
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experience should cover basic chemistry analytical skills to large scale pilot experience, hands-on, and data analysis. This includes experience on corrosion, kinetics, emission impurities, and solvent
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
information Further information may be obtained from Chief Scientific Officer and Chief Partnerships Officer Dina Petranovic Nielsen dpet@biosustain.dtu.dk You can read more about DTU Biosustain at https
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PhD fellowship/scholarship - Intercropping of cover crops and vegetables to mitigate nitrate leac...
November 2025 or later. You can submit your application via the link under 'how to apply'. Title: Intercropping of cover crops and vegetables to mitigate nitrate leaching and improve soil health in organic
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. The Institute’s main purpose is to address basic scientific questions through interdisciplinary approaches. The institute operates at the intersection of natural and medical sciences and the humanities. Information
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information on the QM centre, please visit https://www.sdu.dk/en/qm . Application deadline: 1 August 2025 at 23:59 hours local Danish time. Contact information - Questions should be directed to (qm@sdu.dk
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algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field
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protocols and generation of data, we can offer a challenging job in a dynamic research environment. The successful applicant will be placed in the research unit Ruminant Nutrition: https://anivet.au.dk/en