47 systems-science-"https:"-"https:"-"https:"-"Inria" Postdoctoral positions at Carnegie Mellon University
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tools. This position offers the opportunity to collaborate with leading scholars in AI/ML, Data Science, Operations Research and Information Systems. The initiative is led by the directors of the NIST
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tools. This position offers the opportunity to collaborate with leading scholars in AI/ML, Data Science, Operations Research and Information Systems. The initiative is led by the directors of the NIST
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Institute (NI) within the Mellon College of Science is an interdisciplinary research and education center dedicated to advancing the understanding of the brain through neuroscience, artificial intelligence
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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. Interacts with interdisciplinary professional partners. Other duties as assigned. REQUIREMENTS: REQUIRED: Master of Science (MS) in computer vision, machine learning, artificial intelligence, or a
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. Interacts with interdisciplinary professional partners. Other duties as assigned. REQUIREMENTS: REQUIRED: Master of Science (MS) in computer vision, machine learning, artificial intelligence, or a
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evolution of the U.S. energy system under deep uncertainty. This position sits at the intersection of energy systems modeling, open science, and policy analysis. The postdoctoral researcher will not only
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Collaborative Research in Computational Neuroscience (CRCNS) grant and will focus on computational approaches to understanding neural systems and brain function. The successful candidate will be
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, Mechanical Engineering, Materials Science, Physics, or a closely related field Strong publication record in MEMS, resonators, piezoelectric devices, RF systems, or related areas Demonstrated ability to
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, Mechanical Engineering, Materials Science, Physics, or a closely related field Strong publication record in MEMS, resonators, piezoelectric devices, RF systems, or related areas Demonstrated ability to