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considered for candidates on a case-by-case basis. Nature of Appointment The STP Fellowship is administered by Oak Ridge Institute for Science and Education (ORISE). The participant will not enter
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scientific presentations internally and externally with exceptional oral communication skills. Interacts professionally with collaborators and fellow research team members. Working Conditions: This position
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statistical modeling, including development and validation of predictive models using large-scale data. 3. Proficiency in large language model (LLM) and natural language processing methods for analysis
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the theory of brain-inspired algorithms and apply them to complex, real-world problems. The successful candidate will join an interdisciplinary team of computer scientists, mathematicians, engineers, and
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in internal meetings and at national/international conferences. ● Collaborate with an interdisciplinary team (bio)statisticians, data scientists, computer scientists, and climate scientists
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preprocessing, integration, and harmonization. Lead and contribute to manuscripts for high-impact journals and conferences (e.g., Nature-like journals or top CS conferences). Present findings in internal meetings
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 26-Jul-26 Location: St. Louis, Missouri Type: Full-time Categories: Academic/Faculty Medical - Research Internal
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remodel their internal structures to drive tissue growth, function, and regeneration. We focus particularly on the mechanisms underlying cell-cell fusion, using skeletal muscle as a primary model system
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materials and production capabilities for a resilient energy supply chain. This project seeks a fellow with a background in mineral processing/refining. Securing critical minerals and materials (CMMs) is a
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with a particular focus on AI for Science, Natural Language Processing (NLP), and AI for Operations. Our aim is to push the boundaries of computational science by integrating advanced AI methods with