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of algorithms, machine learning, optimization, scientific software development and high-performance computing. The division is also an important part of the eSSENCE strategic collaboration on e-science and of
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 01-Aug-26 Location: St. Louis, Missouri Type: Full-time Categories: Academic/Faculty Other - Academic/Faculty
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of electrochemistry and artificial intelligence. Ideal candidates will have experience in machine learning, large language models, AI-agent development and computational workflows, with particular interest in building
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data analysis, causal inference and predictive modeling using machine learning methods. St. Jude leads two of the world's largest pediatric survivorship research studies, St. Jude Lifetime Cohort Study
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, and machine learning within the scope of ACAG. The postdoc will have various opportunities for professional development, including contributing to and leading grant proposal development (e.g., external
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-cell or spatial transcriptomic analysis is desirable. Experience with machine learning, LLMs, AI agents, multimodal data integration, or automated biological interpretation workflows is desirable but not
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other duties as assigned. Specific Duties: Perform independent research projects according to established protocols and following direction of PI to include: MAb production, cell culture, CAR Treg
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 2 months ago
assigned as needed. The ILS Lab develops innovative methods at the intersection of operations research, artificial intelligence, and machine learning to solve complex supply chain, logistics, and
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Research Center for Molecular Medicine (CeMM), ÖAW | Vienna, Virginia | United States | about 2 months ago
, we will engineer smart CAR T therapeutics for solid tumors. Condensates, Chromatin and Translational Control in Pediatric Cancer (Grebien Lab , CeMM/St. Anna CCRI). We develop quantitative and
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world and a suite of associated machine learning tools. The incumbent will be advised by Dr. Laurel Symes (CAPS, [email protected]). Depending on the research direction, collaboration and additional