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Posting Information Posting Number FAE1908 Advertised Title Postdoctoral Fellow in Machine Learning and Computational Biology Campus Location Main Campus (Memphis, TN) Position Number 023825
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looking for postdoctoral researchers in the area of computer vision, AI, and machine learning. The initial appointment will be for 2 years with a possible extension with a tentative start date in January
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community
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where AI systems are reshaping how we learn, work and participate in democracy, our centre tackles the promise and peril of hybrid intelligence—human and machine working and learning together. AI LEARN’s
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The National Institute of Education invites suitable applications for the position of Research Fellow on a 24-month contract at the Science of Learning in Education Centre (SoLEC) . Project Title
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Offer Description We are seeking to appoint a Postdoctoral Researcher for a three-year position in machine learning emulators of ice-ocean processes. The role is part of PRECISE: Prediction of Climate
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, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow'. We welcome you to join our community
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Responsibilities: Conduct advanced research in secure multi-party computation with applications to privacy-preserving machine learning. Develop scalable multi-party computation frameworks to enhance existing
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Role An exciting opportunity has arisen for a talented Researcher to join the world-renowned Power Electronics, Machines and Control Institute (PEMC) at the University of Nottingham and become a core
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University of Massachusetts Dartmouth | Dartmouth, Massachusetts | United States | about 24 hours ago
on professional learning in science education. This collaborative research initiative seeks to advance transformative teaching practices through innovative, data-driven approaches across a range of educational