547 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" PhD scholarships in Germany
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- Technical University of Munich
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- Ludwig-Maximilians-Universität München •
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- Leibniz-Institute for Food Systems Biology at the Technical University of Munich
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- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
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- CIPMM - Systemic Neurophysiology
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- Charité - Universitätsmedizin Berlin •
- Chemnitz University of Technology
- Christian-Albrechts-Universitaet zu Kiel
- CiM-IMPRS Graduate School, Univ. of Muenster
- Department of Evolutionary Population Genetics
- Deutsches Elektronen-Synchrotron DESY •
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- Friedrich Schiller University Jena
- Fritz Haber Institute of the Max Planck Society, Berlin
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- German Cancer Research Center (DKFZ) Heidelberg •
- German Institute for Economic Research (DIW Berlin) •
- Gottfried Wilhelm Leibniz Universität Hannover
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- Heinrich Heine University Düsseldorf •
- Helmholtz Centre for Environmental Research - UFZ •
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- Helmholtz-Zentrum Dresden-Rossendorf •
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- Helmholtz-Zentrum für Infektionsforschung GmbH
- Hertie School •
- Humboldt Universität zu Berlin / Leibniz Universität Hannover
- Humboldt-Universität zu Berlin
- Institute for Material Physics
- Johannes Gutenberg University Mainz
- Johannes Gutenberg University Mainz •
- Julius-Maximilians-Universität Würzburg •
- Karlsruhe Institute of Technology •
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, Mechanical Engineering, Electrical Engineering, Computer Engineering, or a closely related discipline. Strong research interest in telerobotics, shared control, human–robot interaction, or networked control
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or comparable degree in physics, biology, bioengineering, material engineering or a related discipline. You have experimental experience in cell/tissue culture, microfluidics, or a related discipline. You enjoy
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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, adversarial attacks, and
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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 knowledge in Machine/Deep
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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 systems with solid
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density and neutral composition under different geophysical conditions, which have potential impacts on satellite operations. Your Qualifications / Experience: Mmaster's degree in physics, engineering
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systems for measurement processes, or innovative hardware and software for quantum computers and quantum sensors: we develop tomorrow’s technology in-house for a sustainable and secure society. Become part
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university degree in engineering (e.g. Computer Science), completed with above-average results • Good skills (both theory and practice) in one or several of the following topics: Computer Vision, Machine
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background relevant to the multidisciplinary research of our IMPRS-ML Faculty , including but not limited to Biology, Biochemistry, Biophysics, Chemistry, Computer Sciences, Engineering, Mathematics, and
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of TUM. Kontakt: k.alim@tum.de More Information http://www.bpm.ph.tum.de