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Max Planck ETH Center for Learning Systems | New Germany, KwaZulu-Natal | South Africa | 29 days ago
Phd/doctoral Tuebingen, Germany Apply by Nov 02, 2026 Max Planck ETH Center for Learning Systems Max Planck Institute for Intelligent Systems 72076 Tuebingen Germany Keyboard shortcuts Map data ©2026
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in physics, mathematics, applied mathematics, computer science, quantum computing, machine learning Strong interest in the development of theoretical or computational methods for optimization methods
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doing basic research in areas such as: AI for Science, AI Safety, Bio-inspired Robotics, Biomechanics, Causal Inference, Computational Biology, Computer Graphics, Computer Vision, Control Systems, Deep
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, Computer Vision, Computer Science, Neuroscience, Health Science, Biomedicine, Physio- or Occupational Therapy, or a related field. Understanding of study design, scientific methods, and statistical
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Independent Junior Research Group Leader (m/f/d, E14 TV-L, 100%) on Machine Learning Methods for Des
governments´ Strategy for Excellence, bundles the internationally recognised competencies of the University of Stuttgart, the Max Planck Institute for Intelligent Systems and Bauhaus Earth. It aims to
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in close collaboration with EPFL and the Paul Scherrer Institute (PSI) in Switzerland, one of the leading centers for synchrotron X-ray imaging. As a PhD student, you will work in an international
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program in electrical engineering, energy systems, computer science, data science, applied mathematics, industrial engineering, or a related field, and have demonstrated very good academic performance in
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein-Westfalen | Germany | 2 months ago
precision medicine by combining knowledge from different fields such as biology, chemistry, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is
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passion for technology and the difference it can make in meeting the UN’s Sustainable Development Goals, perhaps you are our new PhD student. At the Maersk Mc-Kinney Moller Institute (MMMI
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Electrical Engineering Mechanical Engineering Physics Neuroscience Computer Science Chemistry or a closely related field Ideal candidates should possess several of the following: Excellent academic