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Ref.: 534495 Work type: Full-time Department: Department of Surgery, School of Clinical Medicine (21700) Categories: Professoriate Staff Applications are invited for appointment as Tenure-Track
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Ref.: 534129 Work type: Full-time Department: Department of Surgery, School of Clinical Medicine (21700) Categories: Professoriate Staff Applications are invited for appointment as Tenure-Track
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to staff position within a Research Infrastructure? No Offer Description Ref.: 534129 Work type: Full-time Department: Department of Surgery, School of Clinical Medicine (21700) Categories
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an innovative and well-funded research group that is open to interdisciplinary collaboration. Research should be at the forefront of biology and medicine, spanning basic molecular and cellular processes
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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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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
. 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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will be given to candidates with research experience in cancer bioinformatics, cancer biology and/or cancer immunology; as well as cell/organoid culture, cellular/molecular biology, flow cytometry
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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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exceptional experimental, writing, and communication abilities. Preference will be given to candidates with research experience in cancer bioinformatics, cancer biology and/or cancer immunology; as well as cell