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to shape national and international conversations on the responsible governance of agentic and physical AI. For further information about Responsible AI UK, please visit: https://rai.ac.uk Further
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synergy with its strategic partners, and provide training on causal inference to the next generation of investigators. For more information on CAUSALab, please visit: https://causalab.sph.harvard.edu
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research focus may include the following areas: Fine-tuning of large language models on rewards derived from social interactions or collective outcomes Evolutionary adaptations of AI agents in social
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in edge intelligence, multi-agent AI, and interdisciplinary collaborative research, and looking for a PhD position, this opportunity can be for you. The Energy Informatics EI@ND Networks and
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the UK/EU to do collaborative research and experimentation. The candidate with the following knowledge is preferable: Agentic AI, large language models (LLMs), and Vision-Language-Action (VLA) models
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visit: https://causalab.sph.harvard.edu/. This role is focused on pregnancy research: To evaluate the effects of treatments in pregnancy we emulate target trials using observational large healthcare
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Description about scope of the PhD research: Do you have a background in energy informatics, computer science, or energy systems, and are you are interested in edge intelligence, multi-agent AI, and
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multidisciplinary research-intensive technology university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our-history/home . The Department
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to) • AI4SCI, with an emphasis on atomic systems such as molecules, proteins, and materials • Modern energy/entropy based learning • LLM/Agent for science • Related safety issues in AI4SCI Dr. Bian
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science of all aspects of the interaction between drugs and biological therapeutic agents and humans. Clinical Pharmacology lies at the confluence of advances in genomics and other omics disciplines and