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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
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projects on-time with minimum supervision. Preference will be given to those with research experience in machines design and development of computer programmes for numerical computation of electromagnetic
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(two posts) [Appointment period: each for twenty-four months] Duties The appointees will assist the project leader in the research project - “Metal forming technologies and numerical modelling
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months] Duties The appointees will assist the project leader in the research project - “Onsager-principle based modelling and deep learning method for complex fluids”. Qualifications Applicants
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research areas, preferably demonstrated by publications in high-impact venues. Experience with machine learning frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential
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the research project - “Large language models for computational social science and FinTech applications”. He/She will be required to: (a) study and investigate the fundamental problem for identifying
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research areas, preferably demonstrated by publications in high-impact venues. Experience with machine learning frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential
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publications in high-impact venues. Experience with machine learning frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential. Additionally, the candidate should possess an excellent
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Department of Computing Senior Research Fellow (two posts) (Ref. 260323009) [Appointment period: each for one to two month(s)] Duties The appointees will assist the project leader in the research
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Department of Health Technology and Informatics Research Fellow (Ref. 260325007) [Appointment period: seven months] Duties The appointee will assist the project leader in the research project - “AI