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scalable machine learning algorithms for a variety of research projects. Manages project teams and junior staff, leads task supervision and quality oversight. Works with partners to identify analytical
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levels. The Department is home to world-class faculty who advance statistical, computational, and mathematical methodology across a broad range of scientific domains. Professor Claire Donnat’s research
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maintain algorithms for accurate detection, segmentation, and classification of cells and structures in biomedical microscopy images. This position will also work to align high dimensional (HD) images of
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algorithms, programming languages, and libraries. Ability to understand and translate researchers’ scientific goals into computational requirements. Ability to identify and gain expertise in appropriate new
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learning algorithms for a variety of predictive analytics research projects. Coordinates data collection, econometric analysis and provides quality assurance for research projects. Contributes to research
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required to make data driven discoveries that increase our scientific knowledge and improve the quality of life. We architect ecosystems of large-scale commons of research data, computing resources
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graduate levels. The Department is home to world-class faculty who advance statistical, computational, and mathematical methodology across a broad range of scientific domains. Professor Claire Donnat’s
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, Databases, etc.), Machine Learning, Theoretical Computer Science (Discrete Mathematics, Algorithms, etc.). Experience with EdTech tools, such as Ed Discussion, Gradescope, GitHub Classroom, Canvas, etc
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. Optimizes the performance and scalability of AI/ML workloads through algorithmic and system-level improvements, including evaluation and tuning of CPU vs. GPU usage for cost-effectiveness. Monitors and
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, validates and implements sophisticated algorithms for clinical processes in the transplant program and more broadly in the Section of Pediatric Hematology/Oncology & Stem Cell Transplantation. Coordinates