25 computational-physics-phd-"https:" Fellowship positions at Nanyang Technological University
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Requirements: Bachelor’s, Master’s, or PhD degree in Materials Science, Engineering, Physics, Chemistry, Imaging Science, or a related technical field. Basic understanding of X-ray imaging, tomography
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conferences. Ensure project deliverables are completed to an agreed schedule. Job Requirements: PhD in a related discipline such as physical geography, geology, environmental science etc. Experience working in
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or electrochemical system PhD in Chemistry/Materials Science/Physics Encourage initiating activities on MOF development, devising, and analytical process Experience in machine learning will be preferred Good oral and
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Electrical Engineering, Computer Engineering, Physics, or a closely related discipline. At least 3 years of relevant research experience in microwave and RF device modelling and design. Strong background in
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the 2025 QS World University Rankings by Subjects. The key objective is to support efforts to advance cutting-edge research in photonic integration for quantum sensing, neuromorphic computing, and chip-scale
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from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https
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administrations and liaison Provide regular updates and reports Job Requirements: Possess a recognized PhD degree in Computer Science / Mechanical / Electrical / Aerospace engineering or Physics or related
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safety regulations. Job Requirements: PhD degree in chemical/environmental/material engineering Relevant research experience in membrane fabrication and process, desalination and water reclamation
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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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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Key Responsibilities: Develop and implement high-fidelity CFD and FEA simulation workflows for modelling heat