418 algorithm-"Multiple"-"Prof"-"U"-"Simons-Foundation"-"Embry-Riddle-Aeronautical-University" positions
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to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here in New York, across
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day 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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; or the training of a machine learning algorithm to read a digitized document written in an under-resourced language. Position description: The University of Toronto Libraries seeks a highly organized, flexible, and
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work experience with social media platforms, algorithms, and analytics tools. Experience with social media management tools such as Hootsuite, Sprout Social, or equivalent. Excellent communication
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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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development as well as field data collection at multiple test sites in Ethiopia. Job assignments The successful candidate will join a large, collaborative team of researchers with expertise in electromagnetic
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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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their research, and several of the university’s research institutes are located across multiple campuses. The Academic Plan envisions that all members of the Northeastern community will have a “passport” to the
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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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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