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Field
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cryogenic laboratory environment and following specific clean room protocols Master`s degree in physics or electrical engineering Willingness to work in laboratory and cleanroom environments Ideally, initial
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of Electrical Engineering and Information Technology at RWTH Aachen. ENROLLMENT: The student will be enrolled in the PhD program of the department of Electrical Engineering and Information Technology, RWTH Aachen
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enrolled in the PhD program of the department of Electrical Engineering and Information Technology, RWTH Aachen. Targeted services for international employees, e.g. through our International Advisory Service
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for Doctoral Researchers and Supervisors: https://www.fz-juelich.de/en/judocs You will be enrolled in the PhD program of the department of Electrical Engineering and Information Technology, RWTH Aachen. Targeted
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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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fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator facilities is advantageous. We
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(international) conferences Supervision of student seminar papers and theses Your Profile: You have successfully completed your studies in economics, (business) engineering, natural sciences, or data science with
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Aachen. ENROLLMENT: The student will be enrolled in the PhD program of the department of Electrical Engineering and Information Technology, RWTH Aachen LEAVE: You will receive 30 days of leave plus
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 25 days ago
for deciphering organic matter dynamics in the Arctic Ocean (f/m/d) Background The Helmholtz School for Marine Data Science (MarDATA) is looking for a graduate in computer science, computer engineering, applied
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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