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also participate in collaborative studies. The ideal candidate will hold a Ph.D. in bioinformatics or a related field, have a strong record of research productivity (e.g., publications and software) in
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study and/or bioinformatic analysis At least 2 years of relevant experiences in academic/industrial environment, with end-to-end grants and/or project operations. Prior working experience in the areas
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following areas: plant biology and spectroscopy, evolutionary biology, bioinformatics, biochemistry, functional genetics, plant physiological ecology and remote sensing. All candidates must have received a
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Qualifications : Doctoral level degree in Economics, Bioinformatics, Biostatistics, or related quantitative analytical field is required. Excellent communication, teamwork and collaboration, organizational, and
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operations and collaborative environment. We are looking for a highly skilled bioinformatics postdoctoral Research Fellow who specializes in researching, designing, developing, deploying, and maintaining
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in computational analysis of omic data-ability to perform statistics, data integration and bioinformatics Candidates who are nearing completion of their PhD may apply, but confirmation on awarded PhD
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interests in tumour immunology, T cell engineering, and immunotherapy. You will join a multidisciplinary team spanning immunology, and bioinformatics, with access to advanced flow cytometry, 10X Genomics, in
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& Hematopoietic Cell Transplantation. Dr. Diamond’s research team is seeking a highly motivated candidate with skills and understanding in antigen presentation utilizing bioinformatics tools to be applied
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, Insect Ecology, Evolutionary Biology, Molecular Biology, Genetics, Bioinformatics, or a closely related field). Degree must have been received within the past five years, or be pursuing and anticipated
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | about 14 hours ago
in PCR (to generate long (11 kb) PCR fragments), next generation sequencing and bioinformatics analysis. The results of this work will provide new insights into HCV diversity and help guide