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Profile Show More Options Loading... Clear Create Alert Apply now » Senior Analyst IT, Research Computing - AI Engagement Specialist Work Arrangement: Hybrid (On-Site and Remote mix) Requisition Number
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, and development of tools suitable for high-performance computing environments. Experience with parallel computing and workload management systems such as SLURM is highly desirable. Model Calibration
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liaison for system upgrade testing which includes performing parallel testing and providing feedback to leadership on issues found during testing. Initiate and implement system logic changes per
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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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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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and unify team(s), mobilizes team members to progress in parallel together, and effectively focuses team members on organizational and departmental goals. Effectively monitor work culture in area(s) of
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plans, organizational readiness assessments Project Management Skills: create project plans and manage multiple parallel deadlines, ability to identify roadblocks proactively and formulate mitigation
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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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Home Care and Hospice, Duke Health and Wellness, and multiple affiliations. Be You. OASIS Computing is looking for an IT Analyst – End User Support to join our team! This is a fantastic opportunity
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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