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of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree in biological science, biomedical sciences, bioinformatics or related disciplines. They should be self-driven, highly
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Post-doctoral Fellow in the Department of Orthopaedics and Traumatology, School of Clinical Medicine
related field. Strong hands-on experience in gene editing and animal model handling. Proficiency in bioinformatics tools for transcriptomic data analysis is highly preferred. A solid publication record in
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Post-doctoral Fellow in the Department of Orthopaedics and Traumatology, School of Clinical Medicine
. Requirements A Ph.D. degree in Molecular Biology, Genetics, Biotechnology, or a related field. Strong hands-on experience in gene editing and animal model handling. Proficiency in bioinformatics tools
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, bioinformatics or related disciplines. They should be self-driven, highly motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in
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of Professor Khuloud Al-Jamal, a Chair of Drug Delivery and Nanomedicine. The aim of our lab is to use nanotechnology to better understand, diagnose and treat diseases with particular interests in cancer and
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to better understand, diagnose and treat diseases with particular interests in cancer and neurodegenerative diseases. We are a highly collaborative and multidisciplinary lab eager to create an impact on
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, preparing manuscripts, drafting and submitting competitive internal and external grants Perform other duties as assigned Requirements A Ph.D. degree with a strong research background in bioinformatics
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, rehabilitation medicine, bioinformatics, epidemiology, biostatistics, big data analytics or artificial intelligence analytics A good command of written and spoken English Strong communication skills and a
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as assigned Requirements A Ph.D. degree, with a strong research background in biomedical engineering, rehabilitation medicine, bioinformatics, epidemiology, biostatistics, big data analytics
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intelligence (AI)-assisted image analysis for bioinformatics and medicine. The project is highly interdisciplinary, involving areas of microfluidics, fluidic mechanics, biomedical imaging, and machine learning