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for the Senior Research Fellow post should have a PhD degree in Computer Science, Artificial Intelligence, Data Science, Digital Economy or a related field plus at least six years of postdoctoral research
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. Current research directions include: Reversible material representation methods for accelerated inverse design Large language, diffusion & graph neural models for materials discovery Fine tuning and
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for the project; and (h) perform any other duties as assigned by the Head of School, the project leader or their delegates. Qualifications Applicants should: (a) have a PhD or a doctoral degree, preferably in
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writing; and (c) perform any other duties as assigned by the project leader, the Head of Unit or their delegates. Qualifications Applicants should have: (a) a PhD degree plus at least six years of
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Requirements Candidates should have (i) a PhD degree in data science or related field or an equivalent qualification; (ii) have experience in conducting research; (iii) interest in publishing high-quality
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for the Senior Research Fellow post should have a PhD degree in Computer Science, Artificial Intelligence, Data Science, Digital Economy or a related field plus at least six years of postdoctoral research
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have obtained / been conferred a PhD in Philosophy degree or an equivalent qualification for no more than three years prior to the commencement of the appointment, and a record of publications in
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or no later than June 1, 2026, for one year, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a PhD degree (for Postdoctoral Fellow) or a
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of Specialist Registration), and preferably other relevant higher academic qualification (e.g. MD, MS, PhD). They should have a distinguished and sustained record of high-quality impactful research, as indicated
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focus on combustion, detonation or fluid dynamics; (c) research experience in computational fluid dynamics (CFD); (d) experience in experimental and/or numerical methods for studying detonation