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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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while ensuring data integrity and reproducibility. Execute model training workflows and monitor performance metrics. Perform hyperparameter optimization and maintain experiment tracking processes
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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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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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experimental optimization. Experience in preparation of scientific figures and manuscript contributions. Other Requirements: Work is performed onsite in the research laboratory. Follow applicable
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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