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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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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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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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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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of Norway (2025-2030). MishMash comprises more than 200 faculty members from many higher education institutions in Norway, in collaboration with numerous public and private sector partners. The primary
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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
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scalable methods for understanding the inner workings of large language models and developing functionally-grounded steering and control techniques. The successful candidate will contribute to frontier