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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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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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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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funding, performance, and needs of the lab. The Heaton Laboratory has an opening for a Postdoctoral Associate at the Duke University School of Medicine. We are seeking a motivated person to research
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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