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Data and Computing Technician (50%) From June 1, 2027, or by agreement | initially fixed-term for 4 years, with the possibility of extension The Department of Biomedical Engineering is part of the
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formal verification with Lean You have experience AI-assisted theorem proving or algorithm discovery is an asset You have working knowledge of numerical analysis, ideally numerical methods for PDEs You
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Mission We are seeking a candidate with experience in numerical modeling of nanostructured materials to join our SNSF project “Coupled oscillations in plasmonic crystals”. In this project, we focus
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Position Description The Condensed Matter Theory and Quantum Computing Group at the University of Basel led by Prof. Jelena Klinovaja and Prof. Daniel Loss invites applications for PhD positions
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methods are prohibitively slow for practical semiconductor metrology and inspection applications. Unlike most samples placed under a microscope, microchips are manufactured objects that follow strict
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reinforced concrete and unreinforced masonry buildings. Our approaches include numerical and mechanical modeling, large-scale testing as well as data-driven methods. The PhD candidates will contribute to
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will include: Assemble and validate modular electrocatalytic reactors and analysis methods for realistic CO2 electrocatalysis, with a focus on parallel investigations and accelerated aging. Dissect
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tailor their work toward one or more of these focus areas, depending on their expertise and interest. They will also support parallel developments led by PhD students, ensuring coherence in the beam
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-dependent constitutive models for crack interface mechanics (aggregate interlock) - Large-scale testing of reinforced concrete elements (panels, beams, walls) - Development of analytical and numerical
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outstanding candidates working in formal methods and/or computer systems with interests in one or more of the following areas: machine-checked verification of systems software, GPU kernel semantics and