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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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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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high-performance computing ML inference or serving systems (vLLM, SGLang, PyTorch internals, or similar) Interactive theorem proving (Rocq, Lean, HOL, Isabelle, or similar) or other formal methods
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are most important for the use of solar energy. https://www.epfl.ch/labs/sci-enac-as/ Main duties and responsibilities As a PhD Student, you will be expected to: Assume full responsibility for your
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: Developing analytical and numerical models for flexure-based mechanisms; Designing innovative precision-engineering solutions; Conducting experimental validation and performance testing; Publishing research
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scientific excellence in the areas of vector query processing, serverless/just-in-time query execution, parallel and distributed data management, and data management systems on emerging hardware Passionate
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-doctoral candidate with experience in numerical modelling, preparation and experimental characterization of nanostructured materials to join our SNSF project “Coupled oscillations in plasmonic
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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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for a motivated postdoctoral researcher to develop time-resolved imaging methods and apply them to semiconductor reliability problems. This is one of two postdoctoral positions opening in the group