17 data-"https:"-"https:"-"https:"-"https:"-"https:"-"I.E" Postdoctoral positions at University of Kentucky
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, amplicon sequencing, and metabolomics Analyze and interpret multi-omics datasets (e.g., sequencing, gene expression, metabolite profiles) Integrate data to understand microbial interactions and functional
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community-engaged research. Required License/Registration/Certification N/A Physical Requirements repetitive motion typical of desk work (sitting/bending/typing/twisting); prolonged exposure to computer
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ordering supplies, excellent record-keeping, safety compliance including correct chemical maintenance and disposal practices, analysis and presentation of data, archiving data in forms useful to other
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that apply: ☒Sitting at computer work station for long periods of time ☒Standing for long periods of time ☒Risk of back injury from moving/lifting, equipment, or materials ☐Repetitive motion ☒Lifting/Carrying
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learning methods and omics data to nominate candidate drivers of islet responses, identify potential conditional dependencies between them, and validate them using wet-lab experiments in mice and human
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performing experiments, analyzing data, and assisting in the dissemination of results through publications Required License/Registration/Certification n/a Physical Requirements Moving and lifting objects from
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. Must have excellent verbal and written communication skills, at least one first-author publication, and appropriate experience. Experience working with quantitative and/or social network data is
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, pregnancy, marital status, genetic information or social or economic status. Any candidate offered a position may be required to pass pre-employment screenings as mandated by University of Kentucky Human
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in pediatric or related health sciences fields. Scientific Knowledge: Strong understanding of research design, statistical analysis, and data interpretation methods relevant to pediatric research
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marketing and novel tobacco product use in Appalachian Kentucky, and how FDA regulations may affect patterns of use for conventional and new products among young adults across levels of rurality. Data will be