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mathematics Proficient in programming (Python and C++) Fluent in written and spoken English; knowledge of German is an asset Strong analytical and independent working style Excellent teamwork and communication
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electrical engineering, computational engineering, or a related discipline A strong foundation in power system modelling and simulation Solid programming skills (Python, C++, or comparable languages) Interest
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engineering Very strong mathematical and algorithmic background Programming experience (Python, C++, etc.) Familiarity with parallel programming frameworks (e.g. MPI, CUDA) Fluent in written and spoken English
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Description PhD Student in Medical & Surgical Robotics The Medical Robotics Lab (MeRo Lab), led by Prof. Quentin Boehler, is a newly formed research group at ETH Zurich starting in March 2026. Our goal is to
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assistant (PraeDoc) on this 4-year position, you will be part of the research group “Quantum Information Science and Quantum Computation”, led by Univ.- Prof. Dr. Philip Walther. The group is part of
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programme , and is led by profs. Alexey Lyulin, Heiner Friedrich and Henk Huinink (all TU/e) and prof. Bernard Geurts (U Twente). The project explores how waste products can be turned into a sustainable
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) on this 4-year position, you will be part of the research group “Quantum Information Science and Quantum Computation”, led by Univ.- Prof. Dr. Philip Walther. The group is part of the Quantum Optics, Quantum
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monitoring of patients with primary adrenal insufficiency (DC1) Location: Haukeland University Hospital (HUH) and University of Bergen (UiB), Norway Supervisors: Prof. Marianne Øksnes , Prof. Walter Karlen
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. Supervisors: Dr Ajit Panesar and Prof. Rob Hewson Duration: 3.5 years. Funding: Full coverage of tuition fees and an annual tax-free stipend of £22,780 for Home, EU and International students. Eligibility: Due
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, and Prof. Johan Robertsson. Profile We are looking for a highly motivated candidate with: A Master’s degree in geophysics, physics, applied mathematics, or a closely related field Strong background in