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drugs. We offer a highly creative, collaborative, and ambitious work environment. This project will be part of the IDUN section, led by Prof. Anja Boisen at DTU Department of Health Technology. IDUN is a
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Job Description We invite applications for a fully funded PhD position focused on the development of advanced computer vision and machine learning algorithms for detection and identification
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-transpositions (plastys) and suture practices for surgical procedures. The specific PhD-project aims at developing efficient hyper elastic-based topology optimization algorithms that take into account skin
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responsibility. Further information Further information may be obtained from Prof. Manuel Pinelo, mp@kt.dtu.dk . You can read more about the DTU Chemical Engineering at www.kt.dtu.dk . If you are applying from
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responsibility. Further information Further information may be obtained from Prof. Manuel Pinelo, mp@kt.dtu.dk . You can read more about the DTU Chemical Engineering at www.kt.dtu.dk . If you are applying from
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of Europe’s ‘green transition’ to clean energy. You will work on cutting-edge research tasks, with objectives including • new algorithms and strategies to improve autonomous Airborne Wind Energy (AWE) operation
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Office at SDU . Job Info Job Identification 3002 Job Category PH.D. Posting Date 06/30/2025, 09:15 AM Locations Campusvej 55, Odense M, 5230, DK Apply Before 07/28/2025, 10:59 PM Job Schedule Full time
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55, Odense M, 5230, DK Apply Before 07/14/2025, 10:59 PM Job Schedule Full time
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addition, to a lesser extent, you can participate in other tasks in the centre by specific agreement if your time schedule permits. About your qualifications and competences You have completed an academic degree
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Job Schedule Full time