19 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" research jobs in Hong Kong
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project - “Development of human-centric driver support systems and training recommendations for safer cross-border driving during Northbound Travel for Hong Kong Vehicles”. Qualifications Applicants should
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extraction of aircraft components; (b) participate in the development of an automatic video-screening system for aviation components to support real-time inspection and classification tasks; (c) research
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: ten months] Duties The appointees will assist the project leader in the research project - “Development of hydrogel nanocomposite wound dressing for multidrug-resistant bacterial infection via
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Assistant [Appointment period: twelve months] Duties The appointees will assist the project leader in the research project - “Development of atomically precise catalysts for energy-conversion reactions
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The appointees will assist the project leader in the research project - “Development of fault self-recovery axial direct-drive hub motor for AGV”. Qualifications For the post of Postdoctoral Fellow, applicants
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the project leader in the research project - “Detecting stigma evolution in social media and doctor-to-patient conversations: A natural language processing approach”. He/She will be required to: (a) assist
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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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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