76 Computer-Science-"Data-driven-Materials-Modeling" Postdoctoral positions at Duke University
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foundation for an independent research trajectory. REGAL is a multidisciplinary research program integrating social epidemiology, molecular epidemiology, and global health to investigate the drivers of cancer
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research in engineering and science related to critical minerals. This position will contribute to building interdisciplinary excellence and research pathways in critical minerals research at Duke University
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communities in the gut, blood and other bodysites; immune profiling; biomarker assays; metabolomics; clinical outcomes research; and systems-based biology and computational multi-omics approaches
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proteostasis, cytoskeletal dynamics, and ferroptotic cell death. This collaborative work combines biochemistry, chemical biology, cell signaling, live-cell imaging, and organotypic brain slice models to dissect
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, Biostatistics, Public Health, Population Health Sciences, Health Services Research, Data Science, Cancer Prevention/Control, Quantitative Social Science, or a closely related field. Strong understanding
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. or equivalent doctorate (e.g. Sc.D., M.D., D.V.M.) Preferred Qualifications:. A PhD or MD/PhD (or equivalent) in biological sciences Strong research background in cell biology, molecular biology, mouse models
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chain and resource data sets. The Postdoctoral Associate will be based in Duke’s Department of Civil and Environmental Engineering and the research team led by Professor Heileen Hsu-Kim. The Postdoctoral
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may include teaching responsibilities. The appointment is generally preparatory for a full time academic or research career. The appointment is not part of a clinical training program, unless research
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neurobiology, RNA biology, and evolution. We are especially interested in understanding: How does post-transcriptional control shape neural cell fate and disease? We have discovered canonical and non-canonical
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. This computational immunobiology postdoctoral position is appropriate for a candidate who is enthusiastic and willing to undertake multiple molecular biology and computational approaches to evaluate host immunity