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mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus. Hvordan nettsiden bruker cookies Cookies er nødvendig for å få nettsiden til å fungere. Cookies hjelper oss å få
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a team, to ensure proper operation and maintenance of equipment. Job Responsibilities Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related
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machine learning methods for computational materials physics and chemistry. Projects include: The aim is to develop generalized equivariant neural network models NequIP and Allegro for machine learned
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funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number B-0038-26 Is the Job related to staff position within a Research Infrastructure? No Offer Description
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benchmarking of inference speed, compute efficiency, and scalability with concurrent agents. Maintain high software engineering standards through rigorous testing, version control, clear documentation, and
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the Project PI. ii. Meeting the deliverables by carrying out the computational simulations and experimental studies planned for under the scope of work of the projects within the timeframe to meet the
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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We are looking for someone with a PhD in relevant scientific discipline (e.g. Physics, Mechanical Engineering, Biomedical Engineering, Computer Science, Electronic Engineering, Robotics), a proven
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develop foundational security theory for agentic and multi-agent AI systems, as part of our research programme in multi-agent security. You will build formal models of security-relevant behaviour in
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infrastructures. Minimum requirements: - Knowledge of Software Engineering; - Knowledge of Computer Networks; - Knowledge of Distributed Systems; - Demonstrated experience in a professional context. 5. EVALUATION