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postdoctoral Research Associate (computational biology and bioinformatics area) position is open at Duke University School of Medicine in the lab of Dr. Yi Zhang starting Mar 2025 or later. The ideal candidate
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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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Doctoral Associate Duke Department of Neurosurgery Brain Tumor Omics Program Position Overview We are looking for a dedicated Post-Doctoral Associate to join Dr. Simon Gregory's laboratory in the Brain Tumor
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genomics, metabolomics, or microbiome analysis Computer science, particularly machine learning, artificial intelligence, data science, or computational biology Mathematics or statistics, with experience in
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recent Ph.D. in microbiology, evolutionary biology, computer science, physics, applied mathematics, or engineering. Our research integrates mathematical modeling, machine learning, and quantitative
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for scientific conferences. Assist in grant proposal writing for lab grants Mentor undergraduate or graduate students Doctoral qualification in epidemiology, biostatistics, computational biology, public health
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statistics (desirable but not required) Strong statistical computing skills in R and SAS Excellent writing and communication skills Duke University is an Affirmative Action/Equal Opportunity Employer committed
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data science, computer science, bioinformatics, structural biology, or a related area, and have experience in image analysis, machine learning and/or scientific computing. Informal inquiries should be
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, the department of Biology, the Global Health Institute, the Duke Medical Center, and Civil and Environmental Engineering , who work together via interdisciplinary research and training programs such as the
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(PhD in computational biology, statistics, genetics or related field) with excellent quantitative and dry lab skills. The successful candidate will be expected to develop and lead computational analyses