75 computer-science-intern "https:" "https:" "https:" "https:" "DESY" PhD positions at Technical University of Munich
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infrastructure for research Excellent training and career support opportunities (courses, personal coaching, ...) Your qualifications Master’s degree in Computer Science or a similar field Good theoretical
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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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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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08.09.2021, Academic staff The Professorship of Machine Learning at the Department of Electrical and Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%, 3
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concepts that span from synthesis to polymer science. Good communication skills in English, both written and spoken, and the ability to work collaboratively in an international and interdisciplinary
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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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other subprojects within the MultiStress Research Unit • Publication of research results in international peer-reviewed journals Required qualifications • Master’s degree (or equivalent) in plant sciences
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07.05.2022, Academic staff The research group "Biomolecular Quantum sensing" at the Technical University of Munich and member of the Munich Center for Quantum Science and Technology (MCQST) is
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have experimental experience in soft matter, fluid physics, biological physics or a related discipline. You enjoy working in interdisciplinary and international teams and have basic programming skills