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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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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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(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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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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the research project - “Advancing generative AI algorithms for haptic rendering: bridging human-computer and human-robot interactions”. Qualifications Applicants should have a doctoral degree or an equivalent
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recognition, or computer vision; (b) a good understanding of the fundamentals of robot control, cobots, or UAV path planning; relevant coursework or project experience is preferred; (c) strong hands
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project - “Utilizing ChatGPT for personalised writing program to enhance writing growth mindset and motivation of undergraduate students”. He/She will be required to: (a) assist in conducting literature