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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
) strong communication skills – written and oral, c) ability to develop/translate model algorithms and develop new model code in Fortran, d) software skills needed to work with multiple observed and model
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powerful framework for decentralised machine learning. FL enables multiple entities to collaboratively train a global machine learning model without sharing their private data, thus enhancing privacy
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relationships through active participation in professional societies. Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever
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designs and statistical analysis plans and leading integrative statistical analyses for multiple projects within Dr. Laura Schummers’s research team. The incumbent will perform and lead statistical analysis
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digital marketing team and across multiple stakeholders. Authorization to work in the US Candidates for searches must have current authorization to be employed in the U.S. without employer sponsorship
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digital marketing team and across multiple stakeholders. Authorization to work in the US Candidates for searches must have current authorization to be employed in the U.S. without employer sponsorship
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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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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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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