69 development-"https:" "https:" "https:" "https:" Postdoctoral positions in Hong Kong
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, but advises that only candidates shortlisted for interviews will be notified of the application results. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/413595/post-doctoral
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to apply Website https://www.timeshighereducation.com/unijobs/listing/413368/senior-research-ass… Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteTHE
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Website https://www.timeshighereducation.com/unijobs/listing/413366/post-doctoral-fello… Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteTHE UNIVERSITY
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, whichever is earlier. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/413308/post-doctoral-fello… Requirements Additional Information Work Location(s) Number of offers
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University is committed to nurturing and developing students’ talents and creating applicable knowledge to support social and economic advancement. Applications are invited for : Research Assistant Professor
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, tissue engineering, or 3D bioprinting. The appointee should be organized, self-motivated, and able to work independently as well as in a team. The appointee will be involved in hydrogel bio-ink development
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subject to satisfactory performance. The project team is engaged in cutting-edge research on organoid-based virus research, dedicated to uncovering novel insights into virus-host interactions and developing
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able to work independently as well as in a team. Prior experience in working on projects around respiratory viruses, vaccine/drug development and/or innate immunity would be advantageous. Experience
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, publish original research articles in high-impact journals, assist PIs in writing external competitive grants, and develop their own SEED funding applications. This position offers excellent mentorship and
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self-driven, highly motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in AI deep learning model development on histology whole