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Field
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experience analyzing data from bioinformatics studies such as analysis of microbial genomes, human microbiome studies, and RNA-Seq would be beneficial. Physical Requirements Job may require lifting light
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Experience with FACS, immune cell culture, molecular biology techniques and bioinformatics is advantageous Strong communication skills and fluency in English (spoken and written). Benefits: Fully funded PhD
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transposable element biology. They should be able to develop and apply at scale bioinformatic tools that identify and classify transposable elements, and the variation they create. Solid experience in
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substantially equivalent knowledge in some other way. For this position, the applicant must hold a master’s degree in molecular biotechnology, bioinformatics, computer science, or another area that the employer
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in bioinformatics and genetics would also be considered. For genetics-focussed candidates, subject knowledge in obesity/metabolism is welcome, but not essential. For molecular biology candidates
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, computational modelling, bioinformatic analysis, and experimental vascular biology. Based in a dynamic translational research environment of data-driven life science, computational imaging, and vascular surgery
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bioinformatics, engineering physics, molecular biology, computer science, or a related field. You should have strong programming skills (e.g., in Python or R) and a keen interest in applying data-driven methods
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in some other way. For the announced position, a degree (or substantially equivalent knowledge) in bioinformatics, precision medicine, molecular biotechnology, or a related field is required. A degree
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., computer science, mathematics, electronics, medical devices, bioinformatics, or law); fluency in English. Creativity, taking pleasure in research, and a sense for research quality and ethical behavior in research
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. Postdoctoral Research Fellow in Biostatistics and Bioinformatics Duke University is seeking a postdoctoral research fellow in the Department of Biostatistics & Bioinformatics (https://biostat.duke.edu/) within