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Field
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clean-lab chemical preparation and thermal-ionization mass spectrometry (TIMS) techniques to the measurement of stable and radiogenic isotope ratios across a wide variety of natural and experimental
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modify and develop new procedures to achieve research goals. Moreover, the incumbent will collect, process, and analyze field and laboratory data and help coordinate data collection and logistics. 60% (E
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
, designing natural language interfaces for more intuitive navigation of the BDC environment, creating BDC-specific foundation models, and enabling large language models (LLM) and machine learning-based
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, the incumbent will collect, process, and analyze field and laboratory data and help coordinate data collection and logistics. 60% (E) Research and Informal instruction Perform experiments planned in the different
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. Investigate polypharmacy and multimorbidity in newly diagnosed patients with autoimmune rheumatic diseases. Contribute to studies utilizing natural language processing (NLP) to assess patient self-management
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The Opportunity: Conduct research in Natural Language Processing (NLP), Computer Vision, and Artificial Intelligence (AI), with the goal of publishing in top-tier conferences such as CVPR, ICCV
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our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success
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translation complexes preferred. Effective spoken and written English required. High level of computer literacy required. Experience in chromatography (including FPLC and preferably including HPLC) and
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(Programming Language), Statistical Genomics, Work Collaboratively Questions For frequently asked questions about the application process, please refer to our External Applicant FAQ . Accommodation If you are
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machine learning models, natural language processing (NLP), and ontology-based frameworks to enhance simulation, curriculum development, and personalized learning in health professions education. Develop