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Trondheim. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. ... (Video unable
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contact Jochem Evers, Professor of Crop Physiology, via email: jochem.evers@wur.nl . Questions about the procedure? Get in touch with vacaturemeldingen.psg@wur.nl Ready to apply? Click on the application
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, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab
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more information about this position, please contact Professor Elke Scholten by email: elke.scholten@wur.nl . Questions about the procedure? Get in touch with Rutger Voorrips, corporate recruiter, by
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intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for
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students for a six-month completion scholarship. Selection for these scholarships involves a competitive process, with shortlisted applicants notified of outcomes by November 2024. Scholarship Details
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information on the Health Equity Stream, programming, eligibility criteria, and application process, the following resource is available: Spring 2023 Health Equity Stream Information Session (video
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 13 hours ago
Transformation Processes. The programme is affiliated to the Faculty of Architecture, Civil Engineering and Urban Planning. Doctoral students conduct individual research in the fields of heritage conservation and
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 13 hours ago
of Global Change and Transformation Processes, Energy Transition and Decarbonisation as well as Health and Life Sciences. The programme is affiliated to the Faculty of Environment and Natural Sciences
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models for structural health monitoring of civil engineering structures. Digital twin models are used to interpret real time information from videos and images aided by computer vision techniques