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: Ph.D. in computer science or a related field (e.g., engineering, applied mathematics, statistics) awarded within the past 5 years. Strong theoretical understanding and practical experience in machine
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: Ph.D. in computer science or a related field (e.g., engineering, applied mathematics, statistics) awarded within the past 5 years. Strong theoretical understanding and practical experience in machine
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: Background in signal processing, network science, or statistical physics applied to time series and/or complex systems analysis. Familiarity with PNT data, spatiotemporal datasets, or related domains
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familiarity with or interest in robotics and the NVIDIA Isaac software stack is a plus, as is some familiarity with common LISP for working on hybrid AI systems (good old-fashioned AI + NNs). Benefits: https
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+ NNs). Benefits: https://www.suny.edu/media/suny/content-assets/documents/benefits/benefit-summaries/UUP-FT-Benefits-at-a-Glance-Jan-2025.pdf Requirements: Minimum Qualifications: Doctoral degree in
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modeling, climate data analysis, or extreme value statistics. Candidates must address their ability to work with culturally diverse populations. PREFERRED QUALIFICATIONS Familiarity with ASCE 7 or other