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in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning, particularly deep learning and optimization methods Excellent
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work in state-of-the-art laboratories and clean rooms. The role involves working in a cryogenic laboratory environment and following specific clean room protocols Master`s degree in physics or electrical
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/casa-sdl-dbe Your Profile: Master’s degree (or equivalent) in computer science, applied mathematics, physics, engineering, biology, plant and agrosphere sciences, or another relevant natural science
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be found on our website: www.fz-juelich.de/ibg/daten-ki/casa-sdl-dbe Your Profile: Master’s degree (or equivalent) in computer science, applied mathematics, physics, engineering, biology, plant and
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- looking. Sensor technology plays a key role in this transformation, enabling real-time monitoring, automation, and intelligent decision-making. Despite these needs, many water treatment processes still rely
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. • Very good Master’s degree (or equivalent) in electrical engineering, physics, materials science, or a related discipline. • Strong background in experimental physics, spectroscopy, RF/microwave
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academic and industrial cooperation partners Requirements: excellent university degree (M.Sc., Diploma) in either computer engineering, computer science, electrical engineering or any related natural science
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 2 months ago
, mathematics, electrical engineering etc.). Excellent programming skills (Python, Matlab) are required. The candidate will be embedded in the Neural Computation Group at the Max Planck Institute for Human
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Brandenburg University of Technology Cottbus-Senftenberg • | Cottbus, Brandenburg | Germany | about 15 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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theses Your Profile: You have successfully completed your studies in economics, (business) engineering, natural sciences, or data science with very good results Knowledge in the fields of environmental