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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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, bioinformatics, biostatistics, molecular microbiology, computer science, and software development. PRINCIPAL DUTIES AND RESPONSIBILITIES (Essential Functions) Facility with analytical methods for microbiome data
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diversity and population dynamics of bacterial populations in the host.We are seeking an Associate to conduct bioinformatic analysis comparing sequence diversity in sputum verses culture for Mycobacterium
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, Signal Transduction , Virology , X-ray crystallography Bioinformatics / big data , Biological Data , data science , Interdisciplinary Biomedical Sciences / biochemistry , cancer , development , genetics
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computational (bioinformatics) tools on human and mouse tissues and using in vitro methods on human cells, to explore the consequences of genetics variants on human biology. This is a multi-year position
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’ experience in the area of bioinformatics. Additional Qualifications and Skills: Master's in Bioinformatics, Biological Engineering, Computer Science or related field STRONGLY PREFERRED. Familiarity with
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on the Breast Atlas project, funded by the Gray Foundation. The Bioinformaticist II will collaborate with investigators in the Brugge lab and partner labs to perform bioinformatics analyses, statistical modeling
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Bioinformatics, Computational Biology, or related areas; Hands-on experience with, or a strong interest in, bioinformatics programming, including Linux, scripting, and R; Expertise in data mining and cleaning
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of Organismic and Evolutionary Biology, which is a vibrant community of cross-disciplinary biological scientists at Harvard University. Basic Qualifications A Ph.D. degree in Bioinformatics, Computational Biology
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phenotypes. The lab uses a variety of experimental (functional genomic, targeted genetic) and computational (bioinformatics) tools on human and mouse tissues and using in vitro methods on human cells