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academic cleanroom in Europe with extensive expertise and specialised facilities for nanofabrication of quantum devices. You will join a diverse and enthusiastic team of academic staff, PhD students and
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You will join PREFERENCE, an international Marie Skłodowska-Curie doctoral network dedicated to advancing large axial field of view (LAFOV) PET/CT imaging. PREFERENCE brings together 12 academic
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international network between PhD students, postdocs, researchers, and industry. Starting date Starting date during Fall 2026. Salary and employment benefits The salary of PhD students is determined according
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further appears in the approximation of various dynamical problems by tensor networks and neural networks. In all these cases, the parametrization is typically irregular, meaning that the occurring linear
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | 27 days ago
of biochemical networks within the cellular environment. The IMPRS-LM offers a unique, internationally recognized PhD training program designed to equip students with the interdisciplinary expertise needed
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of thepublic service and remuneration up to EG 13 (according toEntgO Bund) very good work-life balance; options for mobile and flexiblework a well-connected research campus (public transport) andbest networking
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with other PhD candidates and postdocs, and opportunities for research to stay with partners, both nationally and abroad, through its international network. This PhD position “Distributed Optimization
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and determination? We are currently seeking a/an University Assistant Predoctoral - PhD Position in Inorganic & Materials Chemistry 52 Faculty of Chemistry Startdate: 01.10.2026 | Working hours: 30
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with experience in PhD student co-supervision and benefit from full access to state-of-the-art facilities and our strong international network of collaborators. You will be living in Adelaide, which has
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Job description We invite applications for a fully funded PhD position in the area of Scientific Machine Learning (SciML), which integrates data-driven machine learning techniques with established