16 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"U.S" positions at Cornell University
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and the project's co-principal investigators (from multiple organizations) to oversee a cross-organizational research team consisting of a group of postdoctoral associates, PhD students, and several
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, developing novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting. Lead development of innovative visualization techniques and interpretable machine learning methods (30
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Cornell faculty members and the project’s co-principal investigators (from multiple organizations) to oversee a cross-organizational research team consisting of a group of postdoctoral associates, PhD
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novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting. Lead development of innovative visualization techniques and interpretable machine learning methods (30%). Drive
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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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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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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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learning. At least five (5) years of experience in AI/ML/DL or equivalent combination of education and experience. Demonstrated experience in algorithm development and structured programming ability
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the algorithms and mechanisms that support flexible behavior. We use large-scale electrophysiology and imaging to record hundreds to thousands of neurons across multiple brain areas during behavior. To test the
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the ability to support local people and communities everywhere. By working in and across multiple scientific areas, CALS can address challenges and opportunities of the greatest relevance, here in New York