755 computing-"https:" "https:" "https:" "UCL" positions at Nanyang Technological University
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Asia, towards safer and more sustainable societies. For more information on EOS please visit http://www.earthobservatory.sg . The EOS invites applications for an outstanding Research Fellow with a strong
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, Computer Science, FinTech, or related fields; strong statistical background. Experience with BERT, LSTM, GRU architectures, and financial risk modeling. Proficient in Python, Linux, and open-source LLM platforms
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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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, collaborations, and research translation activities. Job Requirements: Doctoral degree in Electronic Engineering, Computer Science, or a closely related field Strong research expertise in wireless communications
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particular, the appointee will be expected to: Teach in the Master of Science in Modelling and Simulation program and contribute to undergraduate teaching; Supervise student projects and provide academic
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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Characterisation Materials Science, Computational Materials Science, Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Bioinspired
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We are seeking a Research Fellow to lead research on advanced Rydberg atom–based quantum sensing platforms at CQT, NTU. The role involves experimental work on electromagnetic signature detection, developing robust sensing protocols, and delivering solutions for real-world applications. The...
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are seeking a highly motivated Postdoctoral
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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