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accelerated AI, machine learning, and robotics algorithms with a strong focus on computational efficiency, memory reduction, and energy-aware deployment. The role targets foundation models, including large
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assimilation, machine learning, and seasonal weather forecasts. As a Postdoctoral Research Fellow, you will play a crucial role in developing and testing statistical models for the accurate forecasting
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on developing robotics and cyber physical systems solutions using machine learning and artificial intelligence to support different aspects of marine science, with opportunities to expand to other areas
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): Computer, Information, and Data Sciences (2 ) Earth and Geosciences (4 ) Engineering (1 ) Environmental and Marine Sciences (2 ) ORISE GO The ORISE GO mobile app helps you stay engaged, connected and
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intermediate or advanced computer skills in the following software packages: MS Office (particularly Excel, Word, Powerpoint), SPSS or SAS or R, and NVivo (qualitative data software package) Familiarity with
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and applied research in one or more of the following areas: collaborative robotics, manipulator robots, compliant robotics, human-robot interaction, computer vision, artificial audition, signal
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and at Cornell Tech in New York City. The goal of the program is to support groundbreaking research to develop the foundations of artificial intelligence, machine learning, computer vision, natural
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graduate students. Job Requirements: Ph.D. in Electrical Engineering, Computer Science, Statistics, or other related fields. Familiarity with machine learning and computer vision frameworks. Good written and
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research projects in computer vision, machine learning, AI, and robotics. Projects may include physically-grounded AI guidance agents, modeling of multimodal data, and generative AI systems for situated
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representations. The project will also explore machine-learning approaches and efficient imaging strategies, including reconstruction of three-dimensional pore structures from radiography. By linking defect