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project - “Deep learning-based approach for process parameter optimization of SiC wafer under limited data”. He/She will carry out research in the areas of machine learning and data science, and also be
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, Computer Science and must have no more than five years of post-qualification experience at the time of application; (b) have research experience in multimodal data fusion, video / image processing, and structural
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preliminary research on the application of brain-computer interface technology in enhancing tourism experiences for families with ASD children”. Qualifications Applicants should have: (a) a doctoral degree
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of and skills in conducting qualitative and quantitative studies; (c) have knowledge of using Microsoft Office and statistical computer software, such as SPSS; (d) have a good command of both written
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computational approaches for calcaneal fracture management: integrating 3D modelling, deep learning, and reinforcement learning”. Qualifications Applicants should have an honours degree or an equivalent
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Department of Computing Research Assistant (Full-time/Part-time) (Ref. 250827001) [Appointment period: four months initially, with possibility of further appointment] Duties The appointee will
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Department of Computing Research Assistant (two posts) (Ref. 250827003) [Appointment period: each for four months] Duties The appointees will assist the project leader in the research project
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Mechanics and Fluid Mechanics; (c) research experience in computational fluid dynamics (CFD); and (d) experience in handling publications in the field of Fluid Mechanics. Preference will be given
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other duties as assigned by the project leader, Dean of School or their delegates. Qualifications Applicants should have: (a) a master’s degree in Computer Science, Information Technology (IT
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Putonghua; (b) have experience in assisting large scale projects; (c) have good computer literacy, including but not limited to MS Word, Excel, PowerPoint and Adobe Acrobat; (d) have good