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Field
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methods, promotes a vigorous research ethos, and is committed both to Physics as a discipline and to its applications. Our key objectives are to provide students with the highest quality education, and to
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degree in Mechanical or Vehicle Engineering or the related fields 3-year research experience in combustion, emission, or thermofluid modelling. Expertise in numerical simulation methods, particularly
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scalable methods for understanding the inner workings of large language models (LLMs) and LLM agents, with a focus on identifying causal mechanisms underlying tool use, reasoning, and multi-agent
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of Norway (2025-2030). It comprises more than 200 faculty members from many higher education institutions in Norway, in collaboration with numerous public and private sector partners. The primary objective
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institutions in Norway, in collaboration with numerous public and private sector partners. The primary objective of MishMash is to create, explore, and reflect on AI for, through, and in creative practices
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Observatory, and LSST. Expertise in modeling cosmological observables through analytical methods or numerical simulations, machine learning, statistical inference, and data reduction is beneficial. As members
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numerous public and private sector partners. The primary objective of MishMash is to create, explore, and reflect on AI for, through, and in creative practices. MishMash researchers will investigate AI’s
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more than 200 faculty members from many higher education institutions in Norway, in collaboration with numerous public and private sector partners. The primary objective of MishMash is to create, explore, and
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databases for ammonia, hydrogen, and hydrocarbon fuels; perform emission formation pathways analyses by simulation software; explore the application of low-emission ammonia combustion methods. Key
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databases for ammonia, hydrogen, and hydrocarbon fuels; perform emission formation pathways analyses by simulation software; explore the application of low-emission ammonia combustion methods. Key