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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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Job Description: The Computer Architecture Laboratory at Syracuse University (SU), Syracuse, NY, is seeking a Postdoctoral Researcher to work on different theoretical, experimental, and computational
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by multiple orders-of-magnitude. This is an exciting opportunity to be at the forefront of using advanced computational methods and systems, including machine learning, to develop data and computing
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States of America [map ] Appl Deadline: (posted 2025/01/10, listed until 2025/07/10) Position Description: Position Description Multiphysics, Machine Learning, and Uncertainty Quantification Postdoctoral Positions Los
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Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
: 271598471 Position: Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning Description: The Atmospheric and Oceanic Sciences Program at Princeton University, in
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applications. Minimum Qualifications PhD. in Electrical Engineering, Electrical and Computer Engineering, Computer Science, Mechanical Engineering, Communication Engineering, Applied Math, or a closely related
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Department: Vision Sciences Salary: Commensurate with experience Description: Possesses, understands, and applies a comprehensive knowledge in area of specialization. Develops understanding and
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Laboratory seeks a postdoctoral appointee to join a multidisciplinary team developing complex systems models, including agent-based models, and new algorithms and tools for machine learning and optimization
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curious to deliver work that matters, your journey starts here! The Department of Electrical and Computer Engineering (ECE) ranks among the best in the country. Our research programs are at the forefront
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programming is required. Preferred Qualifications We are seeking an individual with expertise in computational methods and analysis using machine learning with an interest in STEM research and training in