284 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" positions in United States
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Field
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science, including supervising team members, developing novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting. Lead development of innovative visualization techniques
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analyses, and data visualization. Application of latest developments and algorithms from computer vision and machine learning to spatial data analyses in geosciences. Experience working with satellite
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: 272342957 Lead Research Software Engineer US-NJ-Princeton Job ID: 2024-19506 Type: Full-Time # of Openings: 1 Category: Information Technology Overview The Princeton Language and Intelligence Initiative
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to join a multidisciplinary team working on the development of energy-efficient, fault-tolerant AI systems resilient to space radiation. This collaborative project spans multiple levels of research
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on available work, funding, and performance. Anticipated Division of Time (30%) Direct research program in AI/ML applications for climate science, including supervising team members, developing novel algorithms
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life support system detailed in the research program. The project will include use of sensors, control algorithms, and computer simulations of clinical disease to inform development of an automated form
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at the intersection of neuroscience and AI, with opportunities for innovation and collaboration across multiple disciplines. Candidates are expected to have experience in cutting edge AI technologies and their
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healthcare access and outcomes for high-risk patients. The postdoctoral researcher will play a key role in translating machine learning algorithms into professional software with an intuitive user interface
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, care deeply, and believe in being the difference in their work and community. We prioritize student success, access to education, and service in our work to educate well-rounded servant leaders who
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real-time AI algorithms, data infrastructure management, surgical robotics, and human factors. Work collaboratively with clinical teams at multiple institutions to demonstrate the operation and