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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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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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, 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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analyses of micro-randomized trials and experimental designs for Markov decision processes. The candidate is expected to innovate statistical methods and algorithms, create software implementations
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responsible for working with various methods that can incorporate domain-based constraints and other types of domain knowledge into machine learning and applying these techniques to critical societal
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of computational biology, machine learning, and tissue biology. In this role, you will work closely with Dr. Yi Zhang and collaborators to develop and apply computational methods for analyzing
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for patient safety across the organization. The Patient Safety Associate will be responsible for coordinating activities and deployment of patient safety actions/methods with an assigned group of
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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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continuous improvement processes and employ change management methods. Guides direct reports in mentorship of their direct reports. Effectively identifies, processes, and resolves conflict to align
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science methods into starting and ongoing projects Assist CHeRI PIs with implementation science resources and deliverables. Learn background/research methods of studies for which analysis is