33 animal-activity-recognition Postdoctoral positions at University of Florida in United-States
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influence placental physiology, fetal development and long-term health outcomes. The successful candidate will join a dedicated research team conducting translational studies using animal models, human tissue
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projects for this position include: (1) development of physiologically based pharmacokinetic (PBPK) and quantitative structure-activity relationship (QSAR) models of drugs, environmental chemicals, and
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of Postdoctoral Associate in the Teaching of Rhetoric and Writing to begin August 16, 2025. The position is a non-tenure accruing appointment with the possibility of renewal for up to two additional years
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skills, and ample funding opportunities for postdocs and graduate students. Expected Salary: Commensurate with education and experience. Employment Benefits include: Health Insurance: UF participates in
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Professional Development and other campus partners and a variety of graduate populations. Internal Award Management Oversees internal award programs for the Graduate School including, Teaching Assistant Awards
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animal models and extending these insights to understanding and intervening in human diseases. Successful candidates will be self-motivated scientists, with a passion for advancing cutting-edge research
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, comparative metabolomics, NMR spectroscopy, and total synthesis, and to study the biosynthesis and biological activity of these small molecules. Candidates should be eager to use chemistry expertise to solve
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such an environment through their scholarship, teaching, mentoring, and professional service. If an accommodation due to a disability is needed to apply for this position, please call 352-392-2477 or the Florida Relay
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and physiology Experience in microbial interactions or microbial ecology Familiarity with NextGen sequencing or other omics technologies Experience in teaching or mentoring students Special Instructions
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or national conferences, purchase of education materials). Required Qualifications: Ph.D. in Biostatistics, Computer Science, Bioinformatics, Statistics, Mathematics or related field. Preferred: Proficient in R