65 cyber-physical-system-data-mining PhD positions at Technical University of Denmark
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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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. 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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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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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 general planning
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undermine this future. Can you see how Machine Learning, Computer Vision, and Robotics can open up opportunities for autonomously operating agricultural robots? Are you passionate about making agriculture
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biologics development. About the position The purpose of this project is to optimize the process of binder design through closed-loop optimization, emphasizing the efficient achievement of high-affinity and
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. The allowance will be agreed upon with the relevant union. The period of employment is 3 years. You can read more about career paths at DTU here . Further information Further information may be obtained from
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employment is 3 years. Starting date is 1 December 2025 (or according to mutual agreement). The position is a full-time position. You can read more about career paths at DTU here . Further information Further
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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 general planning
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‑band acoustic systems, to extend DTU Aqua’s ocean‑observation capabilities. Process and analyse multi‑sensor data to characterise marine fish communities and their habitats. Contribute