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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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– from ecosystems to microbiology and developmental biology, from evolution to cell biology, from molecular biology to systems biology, bioinformatics, and genomics. It is always an exciting time for
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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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LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria - Strong experience in bioinformatics, particularly in molecular phylogeny and comparative genomics
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Associate will: Conduct molecular biology and protein-DNA interaction experiments (e.g. EMSA, protein purification, functional screens). Integrate laboratory findings with bioinformatics analyses such as
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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
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computational science and/or biomedical informatics and/or data science, bioinformatics and computational biology. Required License/Registration/Certification None Job Summary The Division of Biomedical
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, electrophysiology, FACS, biophysics, bioinformatics, transgenic core, and animal facility) that provide state-of-the-art resources and key technical expertise to support the Institute’s research. Currently, several
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and to develop accurate cancer risk prediction models. This role involves developing computational pipelines, conducting statistical and bioinformatics analyses, and integrating multi-omics data
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ties with world-class biostatistics, bioinformatics, clinical informatics, statistical genetics, and health IT groups at UC, CCHMC, and UC Health. This environment provides rich collaborative