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The Department of Civil and Environmental Engineering at the National University of Singapore (NUS) is seeking for highly motivated Research Fellow to join an industry-facing research programme on
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Job Description Job Alerts Link Apply now Research Fellow (Protein Design and Engineering), ChBE University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit: Chemical and
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We are seeking a highly motivated Research Fellow to join our lab in exploring the design, development, and applications of intelligent textiles and soft electronics. Our research integrates
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, Electrical Engineering, or a related discipline. Strong research background in one or more of: Computer Vision Machine Learning Deep Learning Video Understanding Multimodal AI Excellent programming skills in
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This position involves the simulation, fabrication, and characterization of thin film barium titanate-on-dysprosium scandate optoelectronics devices. It involves calculation and design of polarization and intensity modulator geometries, extraction of electro-optic coefficients from measured...
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• A PhD degree in Materials Science, Chemistry, Chemical Engineering, Physics, or a related field. • Experience or strong interest in rechargeable battery research, particularly sodium
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collaborate with the Principal Investigator and research team. Job Requirements: PhD in Computer Science, Software Engineering, Artificial Intelligence or a closely related discipline. Strong research
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Requirements: PhD in Computer Science, Software Engineering, Artificial Intelligence or a closely related discipline. Demonstrated ability to conduct independent research and develop novel research methods
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School of Chemical Engineering – Faculty of EAIT Full-time (100%), fixed term through to 30/9/2029 Base salary will be in the range $85,372.89 - $113,659.72 + 17% super (Academic Level A) Visa
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Science and Engineering, or a related discipline Research experience in optical imaging, structured-light three-dimensional reconstruction, computational imaging, computer vision, machine learning