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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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and clinical progress into various commercial applications, while integrating market validation, business-model development, strategic partnerships, IP and licensing strategy, regulatory-commercial
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nucleic acid-based targeting agents to treat prostate cancer. The successful candidate will focus on the design, synthesis, modification and biophysical characterization of DNA aptamers. This position would
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, living biological control agents have been deployed against agricultural pests for decades, creating landscapes in which pest populations have experienced contrasting histories of sustained selection. By
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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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(RL) training for large language model (LLM) agents. Prepare and submit conference papers. Co-supervise undergraduate and/or graduate students. Support teaching activities, including course preparation
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. Advanced machine learning, reinforcement learning, and agent-based optimization techniques will be developed to reduce voltage deviations, cut active power curtailment, and improve system adaptability under
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-doctoral candidate will be involved in both in vitro and in vivo research using animal models, primary, and immortalized cell culture models, molecular and cellular techniques, immunofluorescence, and
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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