428 computational-physics "https:" "https:" "https:" "https:" "Brookhaven National Laboratory" Fellowship positions in Singapore
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Employee Category: Research Staff Location_ONB: Outram Campus Posting Start Date: 25/03/2026 Job Description The Signature Research Programme in Emerging Infectious Diseases (EID) aims to pioneer our
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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 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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, Bioengineering, Applied Physics, Engineering Physics/Science, or related field. Hands-on experience in microfluidics, MEMS, biosensing, or bioreactor design. Knowledge of cell culture systems, organoids, or tissue
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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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well as large-scale GPU computing facilities for deep learning. Our Lab aims to hire a Research Fellow to lead a research project on Real-World Deepfake Detection and Image Forgery Localization. The role will
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activities. Prepare research publications, technical reports, and presentations. Job Requirements: PhD degree in Applied Physics, Optics/Photonics, or a closely related field, with a background in integrated
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education. We are seeking a motivated and talented Research Fellow to join the laboratory of Associate Professor Guillaume Thibault and contribute to an exciting research program at the interface of host
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mathematical modeling framework to find the optimal operation strategy for public transport services with autonomous vehicles Conduct computer programming to verify the efficiency of the designed solution
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requirements Development of data analysis frameworks. Plan, supervise and perform (if necessary) the development of supervised and unsupervised machine learning tools to process information from various data