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Field
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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Cornell University, Information Science Position ID: Cornell -IS -RAP [#29664] Position Title: Position Location: Ithaca, New York 14850-4623, United States of America [map ] Subject Area
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Primary Duties & Responsibilities: Develop, implement, and maintain computer algorithms for analyzing structural and functional MRI data for neuroimaging-related neuroscience research purposes, including
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types. The multi-scale computational model integrates mechanistic molecular and cellular-level models with population whole-body models, utilizing machine learning and distributed computing solutions
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. On the inpatient service, a team approach is used which consists of staff physicians, a cancer nutritionist, cancer pharmacist, cancer program chaplain and specially trained nurses. The service offers not only
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research, creation of algorithms and designs, statistical analysis, study protocols, data system development or other data collecting and gathering methodologies. The Assistant Research Professor may serve
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University of California, San Francisco | San Francisco, California | United States | about 1 month ago
computational, computer science, data science, and CI software research and development principles, with relevant domain science knowledge where applicable, along with professional programming concepts for medium
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skills and be interested in developing a collaborative program of applied research in robotics. For example, this may include sensor development, applied robotic perception, algorithm development, or other
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Summary The Boyd Computational Social Science Lab is seeking a highly motivated post-doctoral scientist who is passionate about exploring the intersection of computational methods (e.g., machine learning
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and conduct empirical studies integrating computational and psychological approaches, drawing on methods from text analysis, machine learning, and AI. Develop novel tools, algorithms, or pipelines