14 proof-checking-postdoc-computer-science-logic Postdoctoral positions at University of Virginia
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embedded within an innovative program bridging computational biomedical informatics and community-engaged research, with scientific focus areas including: All of Us Research Program Genomic and Electronic
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Biostatistics, Statistics, Computer Science, Data Science, Bioinformatics, or a related quantitative field Preferred Qualifications Proficiency in statistical computing (e.g., R, Python) Strong quantitative
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The Biostatistics Division in the Department of Public Health Sciences in the School of Medicine at the University of Virginia (UVA) invites applications for a highly motivated Postdoctoral
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The College of Arts & Sciences at the University of Virginia invites applications for several Postdoctoral Research Associate and Lecturer positions in the College's core Engagements program for a
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/research/tang-lab/ QUALIFICATIONS Qualified candidates must have a doctoral degree, preferably a PhD in Cell biology, Genetics and Genomics, Biochemistry, Molecular Biology, or a related Biomedical Science
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participants Conducting and writing literatures Minimum Qualifications Education: Doctoral degree Preferred Qualification Education: PhD in literacy education, reading, teacher education, learning sciences
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also perform studies needed to advance the missions of our research program. This is a leadership position within the lab, and the successful candidate will serve as the principal investigator's
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experience. The University will perform background checks on all new hires prior to employment. A completed pre-employment health screen is required for this position prior to employment. This is an exempt
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and/or MD (or equivalent) degree in hand by start date. Preferred applicants will have a background in molecular biology (e.g., CRISPR/Cas9, lentivirus, adenovirus), lipid signaling, lipidomics, or RNA
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on studying Cancer Biology and Stem Cell Biology in the laboratory of Dr. Lu Le , Professor and Chair of the Department of Dermatology. Dr. Le's lab investigates how genetic and microenvironmental factors