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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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. Demonstrate the ability to develop a professional rapport with diverse populations within the university and community. Maintain consistent instructor presence in virtual classroom spaces. Communicate with
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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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. Candidates with interests in developing and implementing applied research projects aimed at improving reach and effectiveness of behavioral health services for young people, as well as understanding more about
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academic policies. · Demonstrate the ability to develop a professional rapport with diverse populations within the university and community. · Hold one hour online office hours per week, per course
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partners in lung transplant, interstitial lung disease, cardio- oncology, heart failure, and cardiovascular genetics. • Engage in scholarly activity, quality improvement, and faculty development
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and staging. Interpret intraoperative consultations (e.g., frozen sections). Correlate histopathologic findings with clinical, radiologic, and laboratory data. Prepare and sign out pathology reports in
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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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high-quality teaching. The candidate will leverage teaching strategies to create learning spaces as well as to prepare our graduates to enter and lead in an increasingly complex world. 2. The candidate