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the Job related to staff position within a Research Infrastructure? No Offer Description Ref.: 537011 Work type: Full-time Department: Department of Electrical and Computer Engineering (14300
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Ref.: 537011 Work type: Full-time Department: Department of Electrical and Computer Engineering (14300) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Applications
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image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial intelligence models would be advantageous What We Offer The appointee would be exposed to ample
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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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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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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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and construction workflows Requirements A PhD’s degree; AI-native; Highly fluent with tools like Codex or Claude Code (or equivalents), and can leverage them to learn and solve new and complex problems
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of studying these artworks, and (c) to synthesize scientific findings to address art historical questions and preservation challenges. Use advanced imaging technologies and scientific methods to uncover
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; Highly fluent with tools like Codex or Claude Code (or equivalents), and can leverage them to learn and solve new and complex problems rapidly; Strong judgment, and can quickly evaluate what works, what
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motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis