15 condition-monitoring-machine-learning Postdoctoral positions at THE UNIVERSITY OF HONG KONG
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Ref.: 532117 Work type: Full-time Department: Teaching and Learning Innovation Centre (47500) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointment as
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Experience in 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
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to structural biology, protein engineering, machine learning, molecular cloning, in vivo experiments, and/or CRISPR technology. Candidates must exhibit a strong command of written and spoken English, and
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. Knowledge and skills in mathematics, biostatistics, or advanced statistical techniques in clinical research, database management, and machine learning (AI) will be taken into account. They should have
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to digital divide, learning and assessment of digital competence/AI literacy in diverse contexts beyond formal school settings would be a strong advantage. The ability to work on a tight schedule to meet
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culture studies using cell lines, primary cultures and/or patients' tissues for efficacy evaluation. Conduct in vivo studies, including administration of nanoparticles, monitoring fate, therapeutic response
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development workshops for teachers and school leaders on STEAM education, artificial intelligence, science education, language education, self-directed learning and innovation leadership; coordinate and liaise
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technical skills in next generation sequencing, including library preparation and bioinformatics analysis. Experience in developing bioinformatics pipeline and maintaining computer server would be
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, fluent in written and spoken English, and competent in basic computer database management. Familiarity or experience with gene sequencing or gene manipulation will be an advantage. The appointee will be
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the coordination and monitoring of the instrument development and validation process, including seeking advice from the PI & co-Is to ensure the quality of research design and implementation. Conduct pilot studies