264 computer-science-intern "https:" "https:" "https:" "https:" "The University of Edinburgh" Fellowship positions at Nanyang Technological University
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Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research
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assist with administrative work as required. The successful candidate should: Possess a PhD degree in international political economy, international relations, political science, economics, or related
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: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering, or equivalent. Independent, highly analytical, proactive, and a team player; strong verbal and written communication skills
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and Electronic Engineering, Nanyang Technological University. Key Responsibilities: Establish a theoretical framework to study the charge generation and transport in tribovoltaic processes using
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The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) at NTU Singapore, in collaboration with Wageningen University & Research (WUR), is part of Singapore Indoor Farming System
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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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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deployment enabling validation and demonstration of real-world applications. Key Responsibilities: Manage the technical aspects of the project and ensure that the deliverables are delivered on time. Manage
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The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) at NTU Singapore, in collaboration with Wageningen University & Research (WUR), is part of Singapore Indoor Farming System
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for funding agencies and stakeholders. Job Requirements: A PhD degree in Mathematics, Geophysics, Physics, Computer Sciences, or related areas. Strong background in numerical modeling and high-performance