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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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Position Description An Associate in Research position is available in the Interpretable Machine Learning Lab ( https://users.cs.duke.edu/~cynthia/home.html ) for a scientific developer to work in
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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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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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, 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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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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across large-scale clinical environments. What You'll Do: Design, build, and optimize distributed data processing workflows utilizing technologies such as PySpark, Dask, and cloud-based computing
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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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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