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storage materials, and employing machine learning and high throughput for the discovery of new electrode materials and electrolyte systems. 1. Holds a PhD degree in chemical engineering, chemistry
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(including PhD students and research staff) to conduct research work on AI-assisted design; Support the validation of large language models for generative metamaterial design; Assist in building and testing AI
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) at Duke-NUS Medical School is seeking a Research Fellow to support the ongoing “Future Health Technologies” (FHT1) research programme. FHT1 is dedicated to developing innovative, scalable digital solutions
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the department’s 3+1+1 (Type 2) (“311”) programmes Coordinate with partner universities, Deputy Heads, and OUR on 311 student nominations and admissions into the NUS non-graduating programme. Support admission
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the research project • For those hired at senior levels, management responsibilities may be included Qualifications • Have a PhD degree in Electrical Engineering or equivalent from a recognized University
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Fellowship Programme) and with external partners. Job Requirements: Candidates must have a PhD in one of the relevant fields of Asian Studies, international political economy, political science, public policy
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highly numerate subject (e.g. engineering, mathematics, physics, chemistry, statistics, econometrics, computer science, climate science) is advantageous. For Research Fellow and Senior Research Fellow
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necessary lead relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: Master’s degree in computer engineering, Computer Science, Electronics Engineering or
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expansion of its programme on international environmental law with an emphasis on climate change law and policy. The objective of the position is to engage in research on emerging issues related
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encouraged. Requirements Candidates should possess: A PhD or equivalent qualifications in a relevant field (e.g., learning-oriented sustainable assessment, educational technology, artificial intelligence in