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Transformative Research Areas (A) "Molecular Robot Explorers" (Molecular Robot EX; Area No. 26A402, FY2026–2030). Based in the Nomura Laboratory at Tohoku University, the successful applicant will help build a
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experience in atomistic simulations is preferred. • Development or working experience of generative models in scientific applications (e.g., diffusion/flow model) and working experience with agents
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modeling and AI. This position will include: Developing new Generative AI algorithms for developing intelligent agents in areas such as planning, exploration, perception, physical reasoning, and memory
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conventional swine of all production stages and will primarily involve porcine reproductive and respiratory syndrome virus (PRRSV) or porcine epidemic diarrhea virus (PEDV) as the infectious agents being studied
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The Respiratory Viruses Unit is seeking a highly motivated bioinformatician to study the genetic features, diversity, and evolution of respiratory viruses and other viral agents from a bioinformatics perspective
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agents to advance basic and applied research goals, such as understanding host-pathogen interactions or efficacy of viral control strategies. You will be involved in all phases of research, with
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research on machine cognition, focusing on how language model agents and related artificial neural network systems represent beliefs and goals. The project will investigate whether such systems represent
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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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have the potential to transform medicine by providing personalised models of anatomy and physiology that support diagnosis, prognosis and treatment planning. However, creating these models currently
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multi-agent frameworks. Familiarity with immersive platform development (e.g., Roblox, Minecraft), including scripting (Lua/Java), agent behavior modeling, event handling, and API-based integration with