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emerging AI technologies for coding, data analysis, documentation, and scientific discovery. Translate research objectives into practical AI-assisted workflows using high-performance computing (HPC
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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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, engineering and the life sciences. The Interpretable Machine Learning Lab has dedicated access to high-performance CPU and GPU computing resources provided by Duke University’s Research Computing unit
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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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Experience with high-performance computing environments and reproducible workflows Be Bold. Lead and contribute to the analysis of single-cell RNA-seq
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recognized for their exceptional contributions, reliability, and ability to exceed expectations. Their reputation across DHTS is marked by consistent high performance, effective training of peers, and
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transformation, development, and management of enterprise information technology solutions across Duke Health. By harnessing the power of innovative technologies like cloud computing and artificial