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medicine and bioinformatics through innovative data integration, visualisation, and advanced analytics. Our research integrates bioinformatics, data science, and IT solutions to advance digital health and
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involved in human cohort curation and will conduct independent research by characterizing microbiome composition across multiple anatomical sites using shotgun metagenomics, microbiological and bioinformatic
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 5 hours ago
Biology, Bioinformatics, Computer Science, Applied Mathematics, Statistics, Biophysics, Biomedical Engineering, or a related field. Strong programming skills in at least one of: Python, R, C/C++, or Perl
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represent the research group at external seminars and conferences. To be considered, you must hold a PhD/DPhil in statistical genetics, quantitative genetics, bioinformatics, computer science, statistics
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bioinformatics and experience or interest in data analysis or the physiology of the human body, including heart, kidney and gut microbiome. The job can potentially be continued in a PhD position. As a person, you
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postdoctoral Research Associate (computational biology and bioinformatics area) position is open at Duke University School of Medicine in the lab of Dr. Yi Zhang starting Mar 2026 or later. The ideal candidate
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-omics, or Bioinformatics A strong track record of high-quality research, demonstrated by publications and successful grant applications At least three years of postdoctoral research experience is
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Practical experience in proteomics and interactomics is a plus Practical experience in ribosome biology is a plus Experience in bioinformatics/computational biology is a plus Practical experience of protein
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under Drs Ostrom and Patel’s mentorship. Be You. Requirements: The applicant should have a Ph.D. in computational biology, bioinformatics, computer science, statistics, genetic epidemiology, or a related
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on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains Master’s degree in computational biology, bioinformatics, systems