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data challenges. Responsibilities Design and implement LLM-based methods for clinical data harmonization, semantic normalization, and ontology alignment Develop multi-agent or RAG-style (retrieval
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interests in social network analysis, data informatics, and developing, and implementing applied research projects aimed at improving reach and effectiveness of behavioral health services for young people
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of one year and is renewable for up to three years based on performance and continued funding. The overall goal of this USDA APHIS–funded project is to develop and validate ultraviolet-C (UV-C and far
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cytometry, and functional immunology assays • Work with preclinical mouse models of prostate cancer and clinical samples. • Prepare manuscripts, present at conferences, and contribute to grant applications
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acumen in the areas of adolescent substance use, mental health, traumatic stress, and behavioral interventions for youth and families. Candidates with interests in developing and implementing applied
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institutions and National Laboratories to pursue cutting-edge scientific research. The incumbent will have the opportunity to participate in professional development activities according to their professional
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amplitude analysis and scattering theory, heavy-ion collisions and the properties of hot QCD matter, hadronic probes of beyond-the-Standard-Model physics, and formal developments in lattice QCD. A Ph.D. in
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facilities include a low-energy neutron source (LENS) available for neutron detector development and testing, high-bay facilities for large-scale fabrication, professional and student machine shops, a
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: The postdoctoral fellow is expected to develop data-driven mathematical and computational models, with a primary emphasis on the methodological rigor required for high-impact scientific publications. This position
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scientists, biomedical informaticians, clinicians, and public health researchers to develop deployable, trustworthy methods that improve patient outcomes and health system operations. Key responsibilities