15 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"Iscte-IUL"-"Iscte-IUL" Fellowship positions at Hong Kong Polytechnic University in Hong Kong
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development related to future product and experience innovation; (b) support design research, concept development, prototyping and project implementation; (c) conduct user research including collect
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project - “Urban compound disasters and evolution: Integrated assessment, prediction, and adaptive management in coastal megacities”. Qualifications Applicants for the Postdoctoral Fellow post should have a
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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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on application logic rather than underlying algorithm development), and the capability of independently driving the full "Data-AI-Deployment" process; (c) the ability to evaluate the fit between AI applications
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The appointee will assist the project leader in the research project - “Development of functional textiles for renewable electricity generation directly from the air”. Qualifications Applicants for the Research
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to twelve months initially, with possibility of further appointment] Duties The appointees will assist the project leader in the research project - “Development of glassy-carbon pyrolysis and shaping
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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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- “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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development platforms capable of ingesting, curating, and continuously learning from multi-center hepatocellular carcinoma datasets; (c) create innovative algorithms/systems based on the hepatocellular
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) build and maintain end-to-end training infrastructure for pre-training, SFT and RL, including infrastructure maintenance, testing and new feature development; (b) develop and optimise low-precision