225 parallel-and-distributed-computing-phd Fellowship positions at Nanyang Technological University
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: PhD in Materials Science, Chemistry, Physics, Computer Science, or a related field. Strong expertise in machine learning for materials science (e.g., generative models, neural networks, active learning
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project titled “Toward Cognitive Digital Twin as A Unified Platform for Smart Cities: Governance, Sustainability and Applications”, in collaboration with ITB, Bandung, Indonesia under the INSPIRASI program
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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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Fellowship Programme) and with external partners. Job Requirements: Candidates must have a PhD in one of the relevant fields of Asian Studies, international political economy, political science, public policy
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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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Requirements: PhD degree in physics Demonstrated experience in computer sciences Demonstrated experience in handling large size database Knowledgeable in theoretical physics, and at minima basic knowledge in
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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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manufacturing, mechatronics, innovative design, nanotechnology, and biomedical and computational applications. Key Responsibilities: The research fellow will be leading the development of AI-based decision-making
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proceedings Collaborate with other researchers on project discussions and joint deliverables Support the preparation of research proposals and grant applications Job requirements: Must hold a PhD degree in
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applications. Job Requirements: PhD Degree from a reputable university with relevant research experience/expertise and strong journal publication record. Prior experience on similar research and strong record