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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
postdoctoral fellow with expertise in cell stress and metabolism to integrate into our vibrant team. Additional expertise in cell biology, immunology, or bioinformatics is preferred. The postdoctoral fellow will
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bioinformatics, statistics, and/or computer science to join the Eberlin Lab for Medical Mass Spectrometry. These skills would be applied to large mass spectrometry and mass spectrometry imaging datasets
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sorting Bioinformatic and data integration, R/Python Supplemental Qualifications Preferred experience in Familiar with platforms like Visium and GeoMx Engrafting of human lymphoma tissue
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: Exempt Work Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Division of Surgical Oncology is seeking an enthusiastic Postdoctoral Associate (Ph.D.) with a strong background in bioinformatics
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workplace – in how we treat one another, work together, and measure success. Basic Qualifications: A PhD in evolutionary biology, plant biology, genomics, bioinformatics, mathematics, statistics, computer
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immune responses. Highly motivated candidates with recently obtained Ph.D.s or equivalent degrees in immunology, molecular biology, cell or developmental biology, or bioinformatics are invited to apply
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SPECIFICS The Uzun Lab at the Penn State College of Medicine, Department of Pediatrics, Hershey, PA, is seeking a postdoctoral scholar in Bioinformatics/Computational Biology. Our lab’s research interests
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
. There is also an opportunity to be involved in experiments in the Sheikh lab. Minimum Education and Experience Requirements PhD in Computational Biology, Bioinformatics, or a related field. Required
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, United States of America [map ] Subject Areas: Chemistry / Bioinformatics , Chemical biology , Computational Appl Deadline: 2025/09/15 11:59PM ** Position Description: Apply Position Description Job Opening: Postdoctoral
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genomic data for reconstructing evolutionary patterns and processes that have shaped biological history across deep timescales. The ideal candidate will have a background in phylogenomics and bioinformatics