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Field
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implementing weather and climate observations, numerical modeling, machine learning algorithms, and decision support tools focused on atmospheric, land-surface, and hydrologic conditions related to extreme
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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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; 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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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
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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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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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; security issues in human-automation interaction; emergent security issues in AI-augmented cyber physical system and peripherals; security of advanced algorithms; ML training attacks; privacy of ML; AI-driven
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responsibilities. · Continue and build research and development programs into AI algorithms and technologies in mechanical ventilation (both own programs and participating in ongoing programs in the Division