33 web-programmer-developer-"LIST"-"https:" Postdoctoral positions at Duke University
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resistance/relapse following immunotherapy such as CAR T and developing novel agents for protecting hematopoietic stem cells following radiation exposure. The overall duties and responsibilities are: 1
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collaborative experiments to investigate chromatin assembly behind the replication fork and/or chromatin dynamics during DNA repair. You will have the opportunity to develop expertise in genomics, computational
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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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translational studies of patient samples, such as scRNAseq, metabolomics and proteomics, to develop an accurate model of JDM. The model will serve to better understand disease triggers, identify more helpful
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an integral member of the Chidley laboratory where your primary responsibility as a postdoctoral researcher will be to design and conduct independent and collaborative experiments. You will develop and apply
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is generally preparatory for a full time academicor research career. The appointment is not part of a clinical training program, unless research training under the supervision of a senior mentor is the
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is generally preparatory for a full time academicor research career. The appointment is not part of a clinical training program, unless research training under the supervision of a senior mentor is the
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for projects examining questions in cardiovascular disease using extremely large data sets comprised of routinely-collected clinical data · Developing and maintaining requirements for access to Truveta Data and
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, and behavioral measures. · Collect, process, and analyze multimodal datasets, including neural, physiological, and motion-tracking signals. · Develop and refine research protocols and methodologies in
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Systems Modeling. This position focuses on leveraging and developing new equation learning methods, such as Physics-Informed Neural Networks (PINNs), Biologically Informed Neural Networks (BINNs), and