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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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/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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associate will interact with MONET researchers across multiple institutions, and they will report to MONET’s Director, Stephen Craig. Educational Requirements: PhD in Chemistry, biomaterials, chemical or
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and statistical analysis sections (including power analysis) for research grant proposals. •Work effectively with other members of the research team. Earned a doctorate (PhD, MD/MPH, etc.) in health
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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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healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning
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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
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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 genome and epigenome editing tools. This will require expertise in molecular and cellular biology, molecular engineering, genetic manipulation, and bioinformatics. Your primary focus will be using