243 computer-science-intern "https:" "https:" "https:" "https:" "Trinity College, Dublin" Fellowship positions at Nanyang Technological University
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NTU’s College of Humanities, Arts and Social Sciences (CoHASS) includes four schools: Humanities; Social Sciences; Art, Design and Media; and the Wee Kim Wee School of Communication and Information
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questions that complement and extend the lab’s focus This is not a computational-only role; applicants should be comfortable generating and interpreting biological data at the bench The College of Science
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are looking for a Research Fellow to design and develop advanced power
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Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in
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The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of Research Fellow. Our research group focuses on developing advanced membranes and
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, Computer Science, Statistics, or other related fields. Familiarity with machine learning and signal processing algorithms for wireless communications. Good written and oral communication skills
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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 Natural Sciences and Science Education . Project Title: AI-Driven
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Humanities, Arts & Social Sciences Digital capitalism and its impact on society and culture Use of computational, digital, and AI tools Digital and AI-driven creativity, cultural production, and conservation
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A Postdoctoral Fellow position is available in Prof. Tong Ling’s Lab (https://www.tonglinglab.com ) at Nanyang Technological University, Singapore. The successful candidate will work with our
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superlattices (twistronics). The role will focus on developing and applying theoretical models and computational quantum chemistry and machine learning methods to uncover novel properties and phenomena in low