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of biological questions and experimental systems – from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and
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9546 Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Dr. Alexander Khoruts is looking to hire a postdoctoral associate to assist them with bioinformatics related
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and prevent preterm birth. The lab uses innovative and cutting edge experimentation and relies heavily on bioinformatics and biomechanical systems engineering. Job Description Primary Duties
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of the following: animal energetics and physiology, tissue level physiology, molecular biology, mitochondrial energetics, metabolomics, transcriptomics, bioinformatics, field research. Excellent project management
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project funds are secured and from a non-federal source. The position involves applying bioinformatic and statistical tools to existing multidimensional datasets, including metagenomic, transcriptomic
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, Bioinformatics, Molecular Biology, Developmental Biology, Computational Biology, etc.). Exceptional skills in molecular biology, genomics, human cell culture, and bioinformatics. Preferred Qualifications Education
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bioinformatics experience for gene expression and protein identification Outstanding communication skills and demonstrated expertise with writing and publishing in international peer-reviewed journals Preferred
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analyses, quantitative genetic analyses, and bioinformatics methods development. Essential Function Yes Percentage of Time 35 Job Duty Dissemination of research via preparing publications in scientific
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: FAES | Horticulture and Crop Science We are seeking a highly motivated Postdoctoral Research Associate with a strong background in bioinformatics and computational biology to join Dr. Yu Ma’s laboratory
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours ago
, functional proteomics, and AI-driven bioinformatics tool development, with the overarching goal of advancing cancer treatment through data-driven translational research. Our work bridges data science and