247 algorithm-development-"Multiple"-"Prof"-"Simons-Foundation" uni jobs 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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position includes: Experience leading development activities within a project’s scope Experience with a diverse set of processors, protocols, and toolsets This job may be filled at multiple levels, depending
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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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Technician - Dept of Neurobiology & Behavior (CAS) - Technician II The Fernandez-Ruiz & Oliva labs employ a multi-disciplinary approach, including the development and application of cutting-edge experimental
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of computational biology and bioinformatics; Research and stay current with project related scientific literature; Develop and validate new algorithms and tools to accomplish scientific objectives; Identify and
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Development and Alumni Relations (DAR) supports Johns Hopkins’ focus on research, teaching and patient care, and its role as a national and global leader in higher education. We create and foster
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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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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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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