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Field
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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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available in the further tabs (e.g. “Application requirements”). Programme Description The Munich Aerospace e.V. Bavarian Research Network was initiated in 2010 to combine key expertise in the field
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master’s degree in Computer Science, Computational Linguistics, Natural Language Understanding, or similar Very good programming knowledge, preferably in Python Experience with state-of-the-art machine
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(Leibniz Gemeinschaft) and committed to international standards of excellent science. The IWM invites applications for the position of a Researcher / PhD Position (m/f/d) Part-time (75%), fixed term
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: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep Learning with experience in discriminative models
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journals. Close collaboration with team members and colleagues. Essential qualifications: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong
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fundamental knowledge about the handling and capturing of flow behavior in multistage compressors. The collaborative frame with a prestigious industry partner will give insight to future technology requirements
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available in the further tabs (e.g. “Application requirements”). Programme Description The Hans Böckler Foundation is the institute of the German Federation of Trade Unions (DGB) to promote research and
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the developed code Publishing the developed approaches in international journals and conferences Requirements Promising applicants have: A master’s degree in Computer Science, Geodesy, or related discipline Very
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or comparable degree in biology, physics or a related discipline. You have experience in quantitative biology, experimental soft matter, or experimental biophysics. You enjoy working in interdisciplinary and