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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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skills including the statistical analysis of large data sets. Prior experience in one or more of these techniques: mouse survival surgery, two-photon microscopy and analysis, patch-clamp recording, single
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to study the interaction between behavioral goals, life experience, and sensory processing. Our experiments merge a range of approaches, including large-scale multi-area in vivo neural recording, wireless
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countries to increase opportunities for discovery. We and our partners aim to integrate state-of-art data science with various types of statistical methods to translate large medical data from benchwork
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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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, transportation, and more, with a special emphasis on grid resilience assessments and equity analysis. You will have the opportunity to creatively use interdisciplinary methods from computational data science
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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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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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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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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