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Field
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capabilities in a wide range of areas, including applied mathematics and computer science, experimental computing systems, scalable algorithms and systems, artificial intelligence and machine learning, data
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systems spanning from novel physical layer waveforms designs (e.g., MIMO, OTFS) to artificial intelligence-enabled networking protocols; from reflecting intelligent surfaces (RIS)/integrated sensing and
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-time academic or research career. The individual will work primarily on the Duke Predictive Model of Adolescent Mental Health (Duke-PMA) study, a multi-site NIH-funded project that leverages artificial
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emerging technologies such as artificial intelligence, quantum technologies, and space-based systems, including large satellite constellations. A recent PhD in physics, engineering, computer
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candidate will join Dr. Siddharth Saksena’s research group, which focuses on advancing hydrologic modeling, flood forecasting, and hydroinformatics through the integration of artificial intelligence, physics
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foundation model pipelines Resilience of AI systems Scaling and systems theoretic modeling of generative AI We seek applicants who are eager to push the boundaries of data science, artificial intelligence, and
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(or equivalent experience) in computer science, electrical engineering, civil engineering, mechanical engineering, data science, artificial intelligence, or a related field • Strong Python programming skills • 0-2
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 12 hours ago
Type: Postdoctoral Position Location: Cambridge, Massachusetts 02139-4307, United States of America [map ] Subject Area: Artificial Intelligence / AI for Social Research Appl Deadline: (posted 2025/09
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applications for postdoctoral position at the interface of scientific Computing and Artificial Intelligence for applications pertaining to fluid mechanics of turbulent and environmental flows starting September
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opportunity to contribute to cutting-edge research at the intersection of artificial intelligence, machine learning, and healthcare. The successful candidate will develop and apply advanced machine learning