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the fields of chemical engineering, technical chemistry, organic chemistry or a comparable discipline Knowledge of hydrogen and energy research is an advantage Independent and self-motivated way of working
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Jülich Participation in the development of the institute Your Profile: Sucessfully completed scientific university degree (Master) in the fields of chemical engineering, technical chemistry, physical
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of Excellence PhoenixD. Who are we looking for? The prerequisite for employment is a university science degree in physics/optical technologies or engineering. In the case of proven technical expertise (in
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/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 packages
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of the Universe, and their internal charge structure is deeply connected to the absence of antimatter in the cosmos. Precision experiments with ultracold neutrons already reach energy resolutions of 10
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grades in the field of mechanical engineering, material science, physics, computational science or similar, preferably with a specialization in the field of theory and/or simulation Strong understanding
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networks and their demonstration as proof-of-concept implementation in an experimental 6G testbed. Your qualifications MSc in Computer Science or Electrical Engineering Strong background in networking and
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, mathematics, engineering, natural sciences or other data science/machine learning/AI related disciplines Language requirements English C1 or equivalent Application deadline January, please see website for exact
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, biochemistry or engineering are encouraged to apply to our educational training programme where cutting-edge research is conducted within our 50+ RESOLV affiliated PI and PS groups located in the Ruhr region
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from outside the University of Stuttgart Can attend courses and seminars specially designed for simulation technology Are able to exchange technical and methodical information Are integrated