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) to train and direct support personnel. The candidates are expected to have experience in animal bone marrow transplant models, DNA repair pathway, flow cytometry, and lentiviral-based gene transfer. Prior
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engineering or related fields. Candidates should have a strong research record in LLM-based agents, reinforcement learning, or large language models, preferably in areas closely aligned with the topics outlined
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an exciting approach to agentic, fully autonomous thin film development using a combination of automated electroplating, in-operando measurements, and AI driven algorithms. He or she will work with a team of
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either or both agent-based modeling and social network analysis/network science. The ideal candidate should be able to program in C or C and have experience working with tera-bytes of data. Preference
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transplantation using mouse animal models. The research involves understanding the mechanisms underlying resistance/relapse following immunotherapy such as CAR T and developing novel agents for protecting
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effectiveness of therapeutic agents and utility of biofluid biomarkers in pre/post-blast animal models, human volunteers and victims of blast exposure. It is fully anticipated that the multi-faceted experiences
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expertise in Large Language Models (LLMs), Agentic Systems, as well as strong interdisciplinary teamwork skills and communication skills. About the Stanford NLP Group: Stanford NLP Group focuses on basic
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approaches (e.g. ODE/PDE-Modelling, Agent Based Modelling) Experience in mathematical analysis of data-driven methods Solid experience in programming (R, Matlab, Python, etc.) Competence in working in inter
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mouse models. * Experience with cell and molecular biology techniques including PCR, western blotting, flow cytometry, cell culture and immunohistochemistry assays. Position Summary: The successful
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. ● Experience with mouse models. ● Experience with cell and molecular biology techniques including PCR, western blotting, flow cytometry, cell culture and immunohistochemistry assays. Position Summary