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Field
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infrastructure evolves, this position is likely to present diverse and flexible opportunities - from deeper and more complex software design problems, to becoming more involved in the bioinformatic and analytic
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cutting-edge metabolomics, molecular/cell biology and bioinformatics approaches in a multi-disciplinary and collaborative team setting. Our lab is equipped with cutting-edge metabolomics, genomics
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Duke University Department of Biostatistics and Bioinformatics is seeking a highly motivated and detail-oriented Post-Doctoral Associate to join our interdisciplinary team focused on developing
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for this position are the following: Works under the direction of the Principal Investigator. Carries out various experimental and bioinformatics studies in the area of the regulation and function of tumor suppressor
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-class biologists in the Harvard medical area. Basic Qualifications An ideal candidate will have a PhD in computational biology/bioinformatics/statistics/CS or another quantitative field. Superb
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involves novel bioinformatics approaches to study disease processes in the skin and to establish the determinants of inter-individual heterogeneity, including cross-species analytics, analyses of lncRNA
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science and/or biomedical informatics and/or data science, bioinformatics and computational biology. Required License/Registration/Certification None Job Summary The Division of Biomedical Informatics
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patients with autoimmune disease. This research involves novel bioinformatics approaches to study disease processes in the skin and to establish the determinants of inter-individual heterogeneity, including
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Biostatistics & Bioinformatics Duke University invites applications for a postdoctoral associate in scientific machine learning (SciML) as part of a new NIH-funded Center for Excellence in Multiscale Immune
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of the relevant fields (e.g. Plant Pathology, Mycology, Microbiology, Population genetics, Genomics, Bioinformatics or related science). Preferred Qualifications: Strong background in fungal biology & genetics