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development of Unmanned Aerial Vehicle (UAV) and robotics; and (d) experience in conducting research or project administration. Preference will be given to those with experience in handling high-impact
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- “Development of modular microrobots and the image-guided intervention for minimally invasive anti‐adhesion treatment after tubal cannulation”. Qualifications Applicants should have: (a) a doctoral degree with
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, School of Clinical Medicine, is seeking a highly motivated and talented researcher to join our multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on
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‐assisted cognitive training at home”. They will be required to: (a) assist in conducting literature review and database searching; (b) liaise with collaborators for system development; (c) support
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multimodality deep learning model development in different sarcomas. Publications in related fields will be a strong advantage. Opportunities for publication and independent development will be available
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Neural Networks (SNNs); (c) have strong proficiency in PyTorch programming and model development; and (d) possess a basic understanding of brain-inspired learning methods and Large Language Models
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ink painting experience”. He/She will be required to: (a) assist in managing various projects on the development of Mixed Reality (MR) content in Unity to be displayed and interacted through MR
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as a second language/educational technology and media/curriculum and instruction/development of multimedia Chinese language learning materials. Applicants are invited to contact Mr Chadwick Ngan
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project - “Uncovering the origin and development of space stems in negative electrical discharges through laboratory observations”. Qualifications Applicants should have a doctoral degree or an equivalent
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in the research project - “Development of efficient and cost-effective equipment for angstrom-level precision polishing and its application in processing optical complex surfaces”. Qualifications