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methods, including but not limited to difference-in-difference analyses Develop and apply biostatistical and bioinformatics methods and pipelines to integrate genetic and epidemiological data for novel
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experiments. Data & Analysis: • Collaborate with data scientists to analyze host and microbial data using statistical, bioinformatic, or machine learning approaches. • Contribute to the integration of spatial
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with molecular biology and/or genomics/bioinformatics is strongly encouraged to apply. Applicants with other expertise will be also considered. The successful candidate will have opportunities to work
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multiple affiliations. Postdoctoral Associate – Biostatistics Duke University is seeking a successful postdoctoral associate in the Department of Biostatistics and Bioinformatics (www.biostat.duke.edu). Duke
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, you will focus on delivery methods for genome and epigenome editing tools. This will require expertise in molecular and cellular biology, molecular engineering, genetic manipulation, and bioinformatics
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methodologies and international collaborations. Developing novel computational tools that use recent advances in artificial intelligence to automate and enhance bioinformatic analyses. These projects
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on the candidate’s interests and experience. Requirements: Ideal candidates should hold a PhD in the area of data science, computer science, bioinformatics, structural biology, or a related area, and have experience