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team includes collaborators from medicine, engineering, and psychology. We are committed to patient-centered science, rigorous methods, and high-impact discoveries. We are seeking a motivated
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of machine learning methods for assurance on hardware devices like PCBs and ICs as well as on the development of automated hardware reverse engineering approaches at the IC and PCB levels for design recovery
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at the University of Florida. Job Description: Develop methods and tools to effectively use electronic health record (EHR) data; apply AI/ML methods to solve critical clinical and biomedical problems. Implement
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frameworks (e.g., Nextflow, Snakemake). - Application of AI/ML methods to omics data analysis. - Experience working with LIMS systems, particularly integrating sequencing workflows. Special Instructions
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supervision, performs euthanasia of rodents using carbon dioxide with approved alternate secondary method. Observes, documents, and reports changes in environmental parameters outside acceptable ranges, e.g
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using automated and/or manual methods. Responsible for all routine quality assurance activities associated with the performance of laboratory and point-of-care testing; includes reporting results and all
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, and large group programs to UF undergraduate and graduate students. Implements elements of the Career Action Plan and career development theory to all workshops and programs. Provides direct service
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visit HR Benefits and Rewards (ufl.edu) Minimum Requirements: Bachelor's degree; or an equivalent combination of education and experience. Preferred Qualifications: Knowledge of methods of compiling
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intellectual growth and innovative teaching methods, to the development and management of the US history survey courses, and to the development and growth of undergraduate online learning opportunities. The area
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between landowners, industry, cooperators, and UF/IFAS PIs and maintain client-collaborator relations across multiple research locations. Trains others in laboratory methods and procedures within and