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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
in an environmental health-related discipline such as exposure assessment, molecular or computational toxicology and biology, environmental chemistry, statistics, bioinformatics, geography
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. Experience working with mice, handling primary and continuous cell culture, multicolor FACS staining and analysis is highly desirable. Working knowledge of bioinformatic analysis of omics data is desired but
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
toxicology and biology, environmental chemistry, statistics, bioinformatics, or geography, for an NIEHS funded T32 postdoctoral fellowship in Environmental Epidemiology. The initial appointment period is 1
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in the future for visa sponsorship. Key Responsibilities : · Research (70%) o Data management o Statistical methods development o Exploratory data analysis o Bioinformatics analysis
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to the application under CV/Resume. Required educations and experience Appropriate PhD in a related field. Preferred qualifications PhD, Computational Biology, Bioinformatics, Computer Science Training in statistics
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across Duke AI Health, the Department of Biostatistics & Bioinformatics, and the Department of Psychiatry & Behavioral Sciences. The position provides support for pursuing independent funding (e.g., K99
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A data science postdoctoral research associate position is available in the lab of Dr. Christian Meyer Ideal candidates will have: • A Ph.D. in bioinformatics, computational biology, mathematics
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(or equivalent) in any relevant field of Biology Molecular biology or bioinformatics skills Preferred Qualifications Ph.D. or M.D./Ph.D. in Neuroscience or Genomics Demonstrated ability to work independently and
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experimental technologies into a platform that detects protein-protein interactions with drastically increased scale and efficiency. The ideal candidate has experience or a strong desire to build bioinformatics
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biochemistry, bioinformatics, single cell genomics, epigenetics, pharmacology and pathology. The Nelson laboratory website provides additional information: https://research.fhcrc.org/peternelson/en.html