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, agent-based models, network models, stochastic systems, or dynamical systems Experience with R or Python Experience working in high-performance computing environments Familiarity with version control
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-line computing High-performance computing environments Candidates with strong computational backgrounds who are interested in developing wet-lab expertise are strongly encouraged to apply. Career
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research environments. Improve workflow efficiency and computational performance across research computing platforms. Regulatory Compliance & Data Security Support compliance with institutional policies
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image analysis, machine learning or deep learning, python and/or MATLAB, scientific computing and numerical methods. Experience with computing, PyTorch, spectral CT, photon-counting detectors, or
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through previous developed analytical codes with R Language for Statistical computing, and qualitative analysis using NVivo. Demonstrated proficiency through previous systematic reviews (and meta
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. Experience working with hardware-software integration and custom instrumentation. Knowledge of research computing, image processing, and data analysis methodologies. Choose Duke. At Duke, you'll
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novel immunotherapies. The Williams lab has state-of-the-art equipment for single cell omics assays and support for computing power for data analyses. Here at DHVI, we value collaborations, and pride
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leverages large-scale cohort studies, registry data, and multi-omics platforms to generate actionable, high-impact insights. The team operates at the intersection of epidemiologic theory, quantitative
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to research the mechanisms of, and interventions for, immuno-senescence and aging in lung transplantation using high-throughput multi-‘omic approaches, primary cell culture systems, and animal models
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application via the link below. The activities of the individual in this role do not constitute performance of services (i.e., work). Therefore, the Postdoctoral Scholar acting within the terms of such an