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Description For our location in Hamburg we are seeking: PhD Position: Method Development for Hierarchical X-Ray Imaging at Synchrotron Facilities Limited: 2 years | Starting date: earliest possible
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Description The group “Physics of molecular and biological matter” at the University of Tübingen is searching for a PhD student / doctoral candidate in Physics (m/f/d, E13 TV-L, 50-75%) The position
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Description The group “Physics of molecular and biological matter” at the University of Tübingen is searching for a PhD student / doctoral candidate in Physics (m/f/d, E13 TV-L, 50-75%) The position
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Sep 2025 Financing yes Type of Position Full PhD Working Language German Required Degree Magister (Masters degree course) Master Areas of study Sociology, Social Science, Economics Description
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Financing yes Type of Position Full PhD Working Language German Required Degree Magister (Masters degree course) Master Areas of study Sociology, Social Science, Economics Description Description As part of
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for the ERC Advanced Grant project “Equilibrium Learning, Uncertainty, and Dynamics.” **Positions Available** We invite applications for Doctoral Researchers with a strong background in machine learning and an
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Description The Institute for X-ray Physics of the University of Göttingen welcomes applications for a PhD Position (f, m, d) starting as soon as possible. The salary is based on TV-L E13 (75
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to pursue their graduate studies and become innovative and independent researchers. As a PhD student, you will benefit from: • Fully-funded PhD positions (work contracts with social benefits) • Dedicated
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Description The Institute of Energy Technologies – Fundamental Electrochemistry (IET-1) focuses on the development of performance-oriented and sustainable materials and components for the electrochemical energy storage and conversion. Aiming to develop sustainable and cost-effective batteries,...
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: Master’s degree in a scientific or engineering subject with excellent grades; enthusiasm for neuroscience and brain mapping; openness to new methods such as deep learning. Offer: Funded PhD position (TV-L 13