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biomedical discovery. You will help design and implement machine learning models, maintain computational pipelines, and analyze complex biological datasets using high-performance computing environments. This
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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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, 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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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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, Bioinformatics, Biophysics, or a related discipline. Demonstrated programming experience in Python and Linux-based computing environments. Ability to work collaboratively in a research setting and
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study implementation and routine problem resolution. Knowledge, Skills and Abilities Can easily use computing software and web-based applications (e.g., Microsoft Office products and internet browsers
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substitute for one year of required experience. Skills Can easily use computing software and web based applications (e.g., Microsoft Office products and internet browsers). Preferred Qualifications
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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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Ability to use computing software and web-based applications (e.g., Microsoft Office, electronic systems) Preferred Qualifications Oncology nursing experience Clinical research or clinical trials