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. Responsibilities/Duties: · Perform biostatistics and bioinformatics for scRNA seq analysis. · Perform molecular, cellular, biochemical and immunological analyses · Optimize and troubleshoot experimental protocols
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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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related field. The ideal candidate will have have experience in one or more of the following areas: microbiology techniques, mammalian cell culture, bioinformatics, mass spectrometry, molecular biology and
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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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. The position will be primarily based in the Department of Biostatistics & Bioinformatics, Duke University School of Medicine, under the supervision of Dr. Xiaofei Wang. The Postdoc Associate will also work
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experience and ability to perform data analysis, statistics, bioinformatics, or programming are a plus. MINIMUM QUALIFICATIONS Education See job description for education requirements. Experience See job
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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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include working with related mouse genetic models. You will learn bioinformatic methods of genomic data analysis. You will be expected to analyze your data arising from these studies and prepare this
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program. A doctoral degree or equivalent (Ph.D., ScD., DrPH, M.D., D.V.M., DDS etc) in Epidemiology, Biostatistics/Statistics, Bioinformatics, Genomics, or other relevant disciplines. Knowledge in the areas
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responses. Candidates from statistics, bioinformatics, epidemiology, molecular biology, and immunology will all be considered and have valuable perspectives to add to this work. Irrespective of scientific