62 development "https:" "https:" "https:" "UCL" "UCL" "UCL" Postdoctoral positions at THE UNIVERSITY OF 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/406726/post-doctoral
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soon as possible and continue until February 11, 2026, or until the posts are filled, whichever is earlier. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/406532/post
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for brain cancer and neurodegenerative diseases. Duties and Responsibilities: Design and develop small molecules, nucleic acids and peptide therapeutics. Design, prepare and characterize nanoparticles. Employ
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https://www.timeshighereducation.com/unijobs/listing/406781/post-doctoral-fello… Requirements Additional Information Work Location(s) Number of offers available1Company/InstituteTHE UNIVERSITY OF HONG
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should apply online at the University’s Careers site (https://jobs.hku.hk ) and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until March 31, 2026 or until
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opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405787/post-doctoral-fello
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, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency Where to apply Website https
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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
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multimodality deep learning model development in different sarcomas. Publications in related fields will be a strong advantage. Opportunities for publication and independent development will be available
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oversight of the project, ensuring adherence to international research standards and ethical guidelines. Lead the design and development of computational simulation methodologies for testing orthopaedic