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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 for the PhD education . We
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Job Description Are you passionate about scientific machine learning, particularly physics-informed machine learning? If so, this position might be perfect for you. We are seeking a data scientist
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. Approval and Enrolment 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
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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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group specializes in experimental quantum technologies spanning quantum information processing, quantum communication, and precision sensing. In this PhD project, you will work at the forefront of solid
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explored using scientific machine leaning. Machine learning, programming experience and a curious mind-set You are fascinated by how computers can learn from data and you have a strong interest in the
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for the efficient formation of high-value compounds. Advanced NMR methods and computational data analysis will be compounded to devise novel reactions towards pharmaceutical precursors, polymer building blocks and
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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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Enrolment 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
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supervisors and fellow researchers, you will contribute to the development of solvers for combinatorial optimization problems and apply them to real-world data from industrial partners. As part of your PhD, you