227 phd-computational-"FEMTO-ST"-"FEMTO-ST" Fellowship positions at Nanyang Technological University
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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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maritime transport, marine technology, computer science, or a related field; Excellent programming skills, such as Python, Matlab, C++, or other computer languages; A record of publications in reputable peer
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fabrication High frequency characterization of fabricated passive devices Work together with collaborators on waveguides design Draft research papers for academic journals Mentor new manpower (PhD or FYP
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control using deep learning. Implement and test new algorithms in actual robot platforms. Job Requirements: PhD in Electrical and Electronic Engineering or related field. Hands on research experiences in
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for presentation of research to relevant stakeholders Job Requirements: PhD from an internationally recognised university in Psychology or Education or related fields; specialisations in Quantitative Psychology and
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involve algorithm development, simulation, test rig set-up, and experimental validation. Job Requirements: The candidate must at least have a PhD Degree in Mechanical Engineering, Automation, Control
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or supervision of labs and tutorials. Job Requirements: MSc/MEng (Research Associate) or PhD (Research Fellow) in Electrical and Electronic Engineering or other related fields. Expertise in RFIC design, including
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. Contribute to grant applications, project management, and laboratory safety. Mentor junior researchers and provide technical support on device-related experiments. Job Requirements: PhD in Electrical
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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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writing/presentation Job Requirements PhD degree in an engineering field related to this project Experience in dynamic modeling, machine learning and optimization & controls Having basic knowledge in carbon