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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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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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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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at the time of application; (b) strong background in SLA theories and methodologies; (c) proficiency in quantitative and qualitative research methods; (d) demonstrated ability to publish in high-impact
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”. They will be required to: (a) collect and organise relevant data; (b) perform data analysis on functional magnetic resonance imaging (fMRI), brain stimulation and computational modelling data; (c
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application; (b) have solid academic background from a reputable university; (c) have research/engineering experience in Computer Vision, Transfer Learning, Large Foundation Models or Collaborative Agents
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command of both written and spoken English and Chinese; (c) have good computer literacy including MS Word, Excel, PowerPoint and Chinese word processing; (d) have good interpersonal, communication and
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frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential. Additionally, the candidate should possess an excellent command of written and spoken English and demonstrate the ability