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Science or German Diplom, preferably in biology, chemistry/biochemistry, psychology, medicine, physics, engineering, or informatics neuroscientific knowledge and interest in an interdisciplinary research
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning
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only in English. Full-time / part-time full-time Programme duration 6 semesters Beginning Winter semester Additional information on beginning, duration and mode of study Successful applicants will then
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programme activities are conducted in English. Subsidised German language classes are offered. Full-time / part-time full-time Programme duration 8 semesters Beginning Winter semester Additional information
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Degree PhD Course location Saarbrücken In cooperation with Close collaborations have been established with the University of Technology Sydney (UTS, Australia), University of Groningen
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international research contexts Your Profile: Excellent Master’s degree in mechanical engineering, energy systems, computational engineering, or a related field Strong background in numerical methods and applied
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27 Jan 2026 Job Information Organisation/Company DFG-TRR/CRC 298 Research Field Biological sciences Chemistry Engineering Medical sciences Computer science Researcher Profile First Stage Researcher
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Degree PhD Course location Potsdam In cooperation with The innovative PhD and postdoctoral scholarship programme is offered in conjunction with the Faculty of Digital Engineering, a faculty jointly
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 18 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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with chemists, engineers, and data scientists will enable the creation of a robust, high-throughput framework for future catalyst and layer development and efficient optimisation. The following topics