985 systems-science "https:" "https:" "https:" "https:" "UCL" positions at Nanyang Technological University
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Singapore’s AI-for-Science ecosystem. Key Responsibilities: The candidate is expected to conduct the following research works Develop and optimize multimodal LLM/MLLMs for downstream tasks (adaptation
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understanding of plasma chemistry, gas handling, and vacuum systems Strong background in materials characterization techniques including Raman spectroscopy, AFM, XRD, and SEM with ability to interpret complex
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, HTS screening, genome engineering, single cell cloning, to develop and optimise engineered cell systems Perform bioprocessing, cell-based assays, FACS, multi-omics and analytical workflows to assess
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We are seeking an exceptional strategic leader to serve as Senior Assistant Director, Research within the College of Humanities, Arts and Social Sciences (CoHASS). Working closely with the Dean
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NTU is seeking experienced and motivated individuals to join our dynamic team in Office of Development and Facilities Management. The department oversees the physical development and maintenance
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Singapore’s AI-for-Science ecosystem. The candidate is expected to conduct the following research works Develop and validate finite element model of protonic ceramic electrolysers (PCECs) Develop generative AI
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Requirements: Master’s degree in Electrical Engineering, Power Electronics, or a related field. Strong background in power electronics, converter design, and control systems. Experience with simulation tools
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Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research
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an emphasis on technology, data science and the humanities. The LKCMedicine BSL‑3 Facility is a research‑focused biocontainment unit at the Experimental Medicine Building (EMB), NTU. The facility supports
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Singapore’s AI-for-Science ecosystem. Key Responsibilities: The candidate is expected to conduct the following research works Develop and implement the "AI+Physics" discrepancy modeling framework to predict