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required to perform the following tasks/will do research on the following topics: Software engineering practices for machine learning Tabular machine learning Large language models on structured and semi
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limited to: Designing, implementing, and maintaining scalable pipelines that ingest raw on-chain data (blocks, transactions, smart-contract events) from public blockchains into research-grade databases
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actor analysis, implemented through case studies. These include youth surveys, an examination of local governance mechanisms, the provision of local infrastructure, and the organisation of actors and
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into systems in the small and how we can prepare them to withstand and operate safely and securely through accidental faults and targeted cyberattacks and how large scale constellations can achieve the
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veins prevailing in shady environments, whereas small-leaved species predominate in hot and sunny arid environments. In general, leaf size and shape are believed to influence the coupling of the leaf
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: Cytokines are small signalling proteins essential for immune communication, acting through autocrine or paracrine mechanisms via specific receptors. Traditionally, cytokine quantification relies on antibody
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candidate is expected to assume a leading role in defining and scientifically contributing to projects at the intersection of software-defined networking (SDN), software engineering, and quantum
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on selected readouts, in the generated disease models to test small molecule drug candidates Modern data management and precise project documentation Work in a collaborative environment, also with different
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. The team you will be working with: Dr. Maxime Cordy Sylvain Kubler Dr. Mike Papadakis The position holder will be required to perform the following tasks/will do research on the following topics: Software
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Testing and Experimentation Facility (TEF) for the energy field. Specifically, it leverages AI and cutting-edge infrastructure to optimize EV charging and energy systems. By integrating distributed energy