57 parallel-processing-bioinformatics-"https:" Postdoctoral positions at Duke University in United States
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to support your career goals and provide access to state-of-the-art facilities. Candidates with background knowledge and hands-on experience in transcriptional regulation, 3D-organoids and bioinformatics
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, grant applications and publication in professional journals. • Implementation of bioinformatics approaches. • Conformance to standards of responsible conduct in research Compliance with good scholarly and
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. Individual will develop and test novel computational models of the neural activity generated by electrical stimulation of the brain. Also, perform data analysis utilizing medical imaging data, computer models
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Systems Duke University – Departments of Mathematics and Biostatistics & Bioinformatics Duke University invites applications for a postdoctoral associate in scientific machine learning (SciML) as part of a
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responses. Qualifications: A doctoral degree in a relevant field is required, preferably a quantitative field such as epidemiology, bioinformatics, statistics, computer science or engineering. The ideal
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Position Summary: The Department of Biostatistics & Bioinformatics (B&B) at the Duke University School of Medicine engages in methodological and collaborative research, providing international and
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this position; no new applications will be accepted after 2025/12/18 11:59PM US Eastern Time. Position Description Postdoctoral Associate in Synthetic/Medicinal Chemistry Location: The Hong Group (https
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, United States of America [map ] Subject Areas: Chemistry / Bioinformatics , Chemical biology , Computational Appl Deadline: 2025/10/29 11:59PM ** Position Description: Apply Today is the last day you can apply for
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members of our community have a responsibility to uphold these values. Application Materials Required: Further Info: http://www.bme.duke.edu http://www.bme.duke.edu
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, grant applications and publication in professional journals. Implementation of bioinformatics approaches. Conformance to standards of responsible conduct in research Compliance with good scholarly and