296 algorithm-development-"Multiple"-"Prof"-"Simons-Foundation" positions in United States
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Field
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progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and
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Multiple Faculty Positions - Computational Biomedical Science, Center for Computational Life Science
Multiple Faculty Positions (Assistant, Associate, Full Staff) - Computational Biomedical Science, Center for Computational Life Sciences Cleveland Clinic The Center for Computational Life Sciences
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advance the various existing commercial and research technologies that are currently (or have future potential to be) employed for IPM of industrial metal AM machines, and developing new methods
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PV inverters), synchronous generators, loads, etc. Develop simulation algorithms that enable large-scale simulations. Integrate (or co-simulate) grid component/device models into open-source software
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science, and brain-inspired computation, encompassing a wide range of specialties such as algorithmic approaches, hardware innovations, artificial intelligence, deep learning, and the software foundations
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excellent place for networking in tech and outdoor activities. Responsibilities Research and development: Conduct research to design, implement, and refine deep learning algorithms, particularly focusing
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Cornell faculty members and the project’s co-principal investigators (from multiple organizations) to oversee a cross-organizational research team consisting of a group of postdoctoral associates, PhD
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Analysis Planning (20% initially, increasing to 45% as the project progresses) Develop, draft, and implement analysis plans that outline statistical methodologies, algorithms, and decision criteria
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applications for multiple 9-month, full-time faculty positions at the rank of assistant professor (tenure-earning) or associate professor (tenured) to conduct research, development, and teaching with
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the Department of Energy and the State of Tennessee. More About the Workflow Systems Group: The Workflow Systems Group researches and develops systems and algorithms to enable knowledge discovery from scientific