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intelligence models would be advantageous What We Offer The appointee would be exposed to ample opportunities in developing an academic career. The appointment will commence as soon as possible on a temporary
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for the captioned post. Duties and Responsibilities Conduct advanced research in structural health monitoring, including hardware development. Perform numerical studies and model testing. Analyze and interpret data
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, transcriptomics data, Nanopore long read sequencing analysis and/or multimodality deep learning model development in different sarcomas. Publications in related fields will be a strong advantage. Opportunities for
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. They will also be responsible for developing and integrating electronic circuits, camera modules, various sensors, and embedded control systems. Responsibilities include relevant modeling, simulation, and
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The ability to multi-task and work on a tight schedule to meet project deadlines The ability to work well independently and collaboratively as a team The capacity to develop and pursue a coherent research
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Careers site (https://jobs.hku.hk ) and upload an up-to-date C.V. They should also arrange 3 referees to send reference letters to Prof. Wang YAO by email (wangyao@hku.hk ) directly. Review of applications
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research project on the development and widespread implementation of a telerehabilitation platform using AI. Involve in the development, implementation of the platform, as well as integration with multi
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opportunities in developing an academic career. The appointment will commence as soon as possible on a temporary basis for 1 to 3 year(s), with the possibility of renewal subject to satisfactory performance and
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able to work well in an interdisciplinary team What We Offer The appointee would be exposed to ample opportunities in developing an academic career. The appointment will commence as soon as possible on a
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advanced research in structural health monitoring, including hardware development. Perform numerical studies and model testing. Analyze and interpret data to provide recommendations for system design and