27 parallel-processing-bioinformatics-"IMB" Postdoctoral positions at Duke University
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: Post-Doctoral Associate Position Summary: The Department of Biostatistics & Bioinformatics (B&B) at the Duke University School of Medicine engages in methodological and collaborative research, providing
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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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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis
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biomedical engineering, bioinformatics, or related fields Experience Recommended (not all required): Demonstrated publication record; Demonstrated expertise in polymer chemistry, Ability to maintain research
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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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, 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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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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for Multiscale Biological Systems Duke University – Departments of Mathematics and Biostatistics & Bioinformatics Duke University invites applications for a postdoctoral associate in scientific machine learning
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across Duke AI Health, the Department of Biostatistics & Bioinformatics, and the Department of Psychiatry & Behavioral Sciences. The position provides support for pursuing independent funding (e.g., K99
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. Minimum Requirements: PhD or equivalent doctorate (e.g., ScD, MD, DVM) in psychology, psychiatry, neuroscience, biostatistics, bioinformatics, computer science, or a related field. Research background in