569 computer-science-quantum "https:" "https:" "https:" "https:" "U.S" PhD scholarships in Germany
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- CIPMM - Systemic Neurophysiology
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- Department of Evolutionary Population Genetics
- Deutsches Elektronen-Synchrotron DESY •
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- Fritz Haber Institute of the Max Planck Society, Berlin
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- Heinrich Heine University Düsseldorf •
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- Humboldt Universität zu Berlin / Leibniz Universität Hannover
- Humboldt-Universität zu Berlin
- Institute for Material Physics
- Johannes Gutenberg University Mainz •
- Julius-Maximilians-Universität Würzburg •
- Karlsruhe Institute of Technology •
- Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute •
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imaging. Your Profile: The successful applicant must have the following: • Master’s degree in physics, biophysics, biomedical engineering, computer engineering or electrical engineering. • Excellent track
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in vitro work, including work with primary cells isolated from human bone and bone marrow, and characterize these primary cells using various cell biology and molecular biology methods Establish data
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physics, biomedical/material engineering or a related discipline. You have a strong background in data analysis and image processing. You enjoy working in interdisciplinary and international teams and have
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Job Offer from February 12, 2026 The Fritz Haber Institute of the Max Planck Society for the Advancement of Science is one of the most internationally renowned research institutes. More than 400
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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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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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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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interdisciplinary research in molecular, structural, and cell biology as well as in physiology, biophysics, epi /genetics, (bio)informatics, and multimodal data analysis. In this project, we will elucidate
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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