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than 18,500 people, including over 14,000 students and 4,000 researchers from more than 120 different countries. Postdoc in the Theory of Non-Equilibrium Chemical Reaction Networks Mission The National Centre
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field Background in programming languages, formal methods, or networking Research experience in one or more of: language design and semantics, automata theory and decision procedures, interactive
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; collaborate with the research teams at EPFL and Imperial College London Design, implement, and maintain core components of the verified LLM inference engine, including the runtime and glue code connecting
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Group Theory. Anosov representations of these groups are thought to be linear versions of these groups: many objects naturally associated with hyperbolic groups have a linear avatar in the presence
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code Developing agentic AI workflows for specification autoformalization, proof generation, and proof repair Build a strong network in the fields of formal verification, systems, and ML infrastructure
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) Ensuring medical grade software quality following industry best practices for patients' usage at home and for researchers in rehabilitation facilities Designing, coding, and driving the automation of test
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: A doctorate in a Machine-Learning related field A deep knowledge of Control Theory, both classical and deep learning based A solid publication record in top level ML venues such as NeurIPs, ICML, and
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. Participating in code reviews to ensure code quality and to provide & receive feedback. Applying IT security best practices, including e.g. Zero Trust and Least Privilege principles. Working with clients
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. Main duties and responsibilities Extract and harden a scoring engine from an existing Python/Streamlit prototype into robust, standalone code Rebuild the data layer from Neo4j to a Python-native graph
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