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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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, 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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multi-modality and advanced imaging systems. NIH-funded projects on benchtop experimental/ prototype imaging system development and algorithms for advanced and multi-modality imaging. Work on system
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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
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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
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and polyploid crop species and benchmark them against other methods such as graph-based methods. This project will combine algorithm development and computational programming with large population
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. · Support PhD students in their work, focusing on the combination of knowledge-based and data-driven approaches · Develop new hybrid AI models and algorithms · Implement a prototype of a
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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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: Information Science / education Appl Deadline: (posted 2025/01/28, listed until 2025/07/28) Position Description: Apply Position Description The National Tutoring Observatory (NTO) is developing an open