196 algorithm-development-"University-of-Surrey" Fellowship positions at Nanyang Technological University
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project Supervise a team of 6 to 9 researchers Train young researchers and students Coordinate technical and scientific efforts Job Requirements: The candidate must hold a PhD degree in Experimental Quantum
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research . We are looking for a Research Fellow to contribute to the development of novel
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next-generation intelligent sensing solutions. Develop systems to perceive, understand, and respond to the physical world. Read and write related academic papers Engage in and facilitate teamwork Assist
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highly motivated Research Fellow to join Associate Professor Xia Kelin's team at the School of Physical and Mathematical Sciences. The project focuses on developing topological data analysis (TDA
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, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies. The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based
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. The position is for one year, renewable subject to satisfactory performance. Successful candidates will conduct research and develop 3D vision. Candidates are expected to have a strong background in relevant
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in Free Space-Time Job Description Demonstrate and measure the breakthrough concepts in nanophotonics using optical sources such as transmission electron microscope Develop high-impact theory
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supports research in analog/mixed-signal, RF/mm-wave, biomedical, power management, and emerging devices. We are hiring a Research Associate/Research Fellow in RFIC design to develop advanced radio frequency
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students) if there is any Prepare research proposals and conduct presentations at seminars. Support the school in various teaching activities, including instructing or supervision of labs and tutorials Job
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to develop and optimize scalable experimental protocols across diverse material families. This role is part of a multidisciplinary team integrating materials chemistry, machine learning, and autonomous