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- “Investigation of a novel AI-empowered pulmonary perfusion imaging technique based on cone beam computed tomography for functional image-guided adaptive radiotherapy of lung cancer”. Qualifications Applicants
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construction, computer vision, image segmentation or foundation-model adaptation, which would be an advantage; (f) have a good command of both English and Chinese; and (g) be self-motivated, responsible and be
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, reporting, and project coordination; Supporting prototype development, testing, and evaluation of immersive experiences and accessibility-focused technologies; and Maintaining project datasets, research
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slide imaging analysis in computational pathology is essential. Applicants should have a solid publication record and demonstrated experience in computer vision or analysis of pathology images
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for large dataset processing. In addition, the laboratory has more than 4000T medical data, including medical records, medical images, and pathological images, publishing more than 170 peer‐reviewed journal
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familiar with programming languages such as R or Python and have a good command of written and spoken English. Those with expertise in MRI imaging analysis and neuroscience in clinical population, especially
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The appointees will assist the project leader in the research project - “A new paradigm for designing and manufacturing of 4D printed reconfigurable lattice structures for tunable broadband vibration suppression
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of written and spoken English. Those with expertise in MRI imaging analysis and neuroscience in clinical population, especially in psychiatry research will be preferred. The appointee will work
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Knowledge of graphic design and image-processing software (e.g., Canva or similar AI tools). Relevant professional and/or teaching experience in tertiary education or a related environment is preferred
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– “A human-like progressive learning paradigm for embodied AI: Meta skills for robots by watching and imagination”. They will be required to: (a) identify irreducible low-level sensorimotor units