63 cyber-physical-system-data-mining PhD positions at Technical University of Denmark in Denmark
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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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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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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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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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at DTU here . Further information Further information may be obtained from Professor Tomislav Dragicevic (tomdr@dtu.dk). You can read more about DTU Wind and Energy Systems at https://wind.dtu.dk/ If you
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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
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information This is a full time position at the DTU Campus in Lyngby, Denmark. Further information may be obtained from CSO Dina Petranovic Nielsen, dpet@biosustain.dtu.dk You can read more about DTU Biosustain
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meteorological phenomena across difference scales, that impact wind energy, and vice versa. Our research is needed in the process of planning, designing, and operating wind energy installations. This can be at
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qualifications we are looking for: Excellent knowledge and practical experience on current molecular microbiology methods Experience with genomic and transcriptomics data analysis is beneficial. Experience with