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/ Deep Learning (particularly Computer Vision or 3D perception) Verification & Validation (V&V) of advanced algorithms, software or systems Formal Methods Safety Engineering / Safety-Critical Systems
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nanoparticles, whose manufacture is generally based on “trial & error” methods. Thus, the aim of TOSCaNA is to develop an experimental approach and a CFD formalism for predicting the size and morphology of metal
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of Minnesota, working with Professor Russell Funk. This position focuses on using computational methods to understand how knowledge is produced, shared, and applied across complex systems. About the Project
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of BSc, MSc and PhD students assist in experimental teaching activities (lab courses) As a formal qualification, you must hold a PhD degree (or equivalent). Extensive experience in cleanroom-based micro
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: Verifiable world models. The research will focus on developing a new class of structured, verifiable world models that integrate the flexibility of deep learning with the rigor of formal methods and
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focused on integrating generative AI (e.g., LLMs) with symbolic reasoning, where the latter can verify the output of the former is compliant with explicit and formal system constraints. The position is
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particular focus on digital methods and tools. The C²DH's ambition is to venture off the beaten track and find new ways of doing, teaching and presenting contemporary history of Luxembourg and the history
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dissemination in the field of contemporary history with a particular focus on digital methods and tools. The C²DH's ambition is to venture off the beaten track and find new ways of doing, teaching and presenting
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: Education: PhD (or equivalent) Organic or Medicinal Chemistry This position requires a formal degree in the cited discipline area(s) to ensure that candidates have the foundational knowledge and skill set
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of the microbiota. Specific tasks will depend on applicants experience and interests. Specific Requirements Requirements: Hold a PhD degree in Biology, Biotechnology, Medicine or an equivalent field