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that connect animal health, data analysis, and human behavior. Design and carry out field studies, collecting and analyzing large data sets. Use and evaluate AI tools to support research and training. Create
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methods. Bioinformatic Analysis (Advanced): Proficiency in large-scale omics data analysis and relevant bioinformatics tools alongside integrative multi-omics pipelines. Programming (Expert): Extensive R
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(AIMBE) in 2024, and as a Fellow of the American Association for Dental, Oral, and Craniofacial Research (AADOCR) in 2025. Community Information Columbia offers small-town friendliness with big city
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receipt, sample management, sample processing, preparation for chemical analysis, directly measure total mercury, reporting data to the PI and collaborators, interpretation of data with Dr. O’Hara, and
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communication skills, excellent computer literacy. Certifications/Licenses Required Knowledge, Skills, and Abilities This research over a large span of life science topics and technical approaches, including
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of density, viscosity, and thermal conductivity of molten salts. Analyze and assess recent and legacy thermophysical property data, compile and organize into large database files Use various experimental and
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evolutionary/quantitative/population genetic analyses on existing large datasets. Apply and develop bioinformatic pipelines to analyze diversity data, especially in the context of pan-genome resources. Work
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molecular biology, microbiology, biochemistry techniques in the area of Salmonella biology and pathogenesis. Managing large data sets, synthesizing and integrating different types of data to come to
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required Working knowledge of all aspects of planning and deploying an AI project, including initial problem specification, data gathering and analysis, model creation, and implementation Strong
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, including fitting and manipulation of large array-type data sets (using Python, Matlab or equivalent) Ability to communicate well, and work within a collaborative team environment Preferred Knowledge, Skills