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, KY Grade Level 45 Salary Range $47,278-78,000/year Type of Position Staff Position Time Status Full-Time Required Education BS Click here for more information about equivalencies: https://hr.uky.edu
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reciprocal research projects. Interpret and vet results from junior staff, formulate conclusions, and inform team leaders. Develop, quality check, and distribute complex datasets to be used in epidemiological
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trips, plus an elective course. Examples of elective courses could include aqueous geochemistry, geomorphology, soils, glaciology, GIS, or numerical modeling. We are seeking candidates who can demonstrate
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Transparency). The main tasks will be to: Develop AI-assisted tools leveraging large language models (LLMs) to support community-based fact-checking Designi and evaluate methods to improve the robustness
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the diversity of current technical and intellectual approaches to art and design and welcomes interdisciplinary experimentation. Temporary Life Drawing Model is a nude model for drawing and other Art Studio
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https://bit.ly/2OTF1NG. Conditions of Employment: Employment is contingent upon the successful completion of a criminal background check. E-Verify Notice: After accepting employment, new hires
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: Computational, Quantitative, and Predictive Modeling of Root Systems. This position emphasizes integration of phenomics and other -omics data into predictive frameworks. Research areas may include: Structural
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University of California Riverside School of Medicine | Riverside, California | United States | 14 days ago
-model, peer mentor, and advocate for the Internal Medicine residents. - The PGY4 Internal Medicine Chief Resident position requires a commitment to fulfilling academic and administrative responsibilities
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, and machine learning models for functional genomics research in mycobacteria. Responsibilities Responsibilities include: Develop and maintain Django-based web applications and databases for sharing
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 10 days ago
algorithms, data models, ontologies, and semantic data harmonization and integration strategies for a variety of translational research contexts, including the following data types: clinical research variables