18 machine-learning "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs in United States
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building a stellarator experiment, STAR_Lite. The project is supported by grants from the Simons Foundation and the Department of Energy. Duties and Responsibilities The successful applicant will take a
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NSF-Simons Foundation-funded National AI Institute for the Sky | Chicago, Illinois | United States | 2 months ago
NSF-Simons Foundation-funded National AI Institute for the Sky Position ID: SkAIInstitute-PPSKAI [#30831] Position Title: Position Type: Postdoctoral Position Location: Chicago, Illinois 60611
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groups in the areas of numerical analysis, image and signal processing, computational statistics, and machine learning. Please see https://www.simonsfoundation.org/flatiron/center-for-computational
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Simons Foundation/Flatiron Institute, Center for Computational Mathematics (CCM) Position ID: 2552-RSRSS [#27108] Position Title: Position Location: Brooklyn, New York 11201
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NSF-Simons Foundation-funded National AI Institute for the Sky Prize ID: SkAIInstitute-PDFELLOWSKAI [#30859] Prize Title: SkAI Prize Postdoctoral Fellowships Prize Type: Postdoctoral Location
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to this search are candidates with expertise ranging from NeuroAI, machine learning, and artificial intelligence to brain-body interactions, including cancer neuro and neurodegenerative disorders, and systems and
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applications for a Tenure Track (TT) position in the area of physics, with a specialization in the development and implementation of techniques of Artificial Intelligence (AI) and Machine Learning (ML) across
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candidates with expertise in discrete mathematics, with particular interest in candidates whose research advances the mathematical foundations of artificial intelligence, machine learning, and quantum
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candidates with expertise in theoretical foundations of artificial intelligence, including statistical/machine learning theory, optimization, and deep learning. Successful candidates must have a strong record
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and computational methodologies, including those pertaining to data science, scientific machine learning, and optimization. Of special interest are candidates whose work could support RPI's initiatives