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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc: Keystone Project (Machine-Verified LLM Inference) Mission The Keystone project seeks
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, scenarios and datasets that will serve the consortium, external academic users and industry for the coming decade. TU Delft is recruiting two postdocs to lay its foundations. This vacancy focuses on detailed
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braking energy, smart energy management; b) mobile charging solutions for zero-emission construction machinery using the trolleybus network as an energy source. This Postdoc is part of the EU-funded
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. Your tasks and responsibilities will include: surveying and selecting quantum or hybrid quantum-classical methods with credible potential for the chosen biological problems; designing reproducible proof
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will enable (1) debugging, since proofs contain detailed information about where bugs occurred,(2) auditability, since proofs can be stored and checked by an independent third party, and even (3
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Organization National Energy Technology Laboratory (NETL) Reference Code NETL-Postdoc How to Apply A complete application consists of: An application, including academic history, work history
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certificate or proof of citizenship of another country, and - for foreign citizens, proof of knowledge of the Croatian language (level C 2). The deadline for submitting of the application is 30 days from
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, drawing on machine learning where it strengthens these methods. The research supports mission-critical scenarios and feeds into an end-to-end resilience proof of concept developed together with Swedish and
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. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also
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past research experience and important results, technical competencies, and preferences or ideas for future research (roughly 2-4 pages) - Relevant academic certificates and proof of degree - Minimum