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Field
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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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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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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
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the daily operations of the webmaster team, ensuring seamless coordination across multiple projects. Plays a crucial role in optimizing web pages to be user-friendly, visually appealing, and maintain a strong
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, prediction, and decision support and automation. Additional duties include but are not limited to: Developing and refining algorithms and workflows for crop monitoring, modeling, prediction, and decision
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skills to bear as you develop new methods to address scientific and engineering problems, collaborate with leaders in your field and across the laboratory, while working with the world’s fastest computers