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, Statistics, computational biology, related disciplines or equivalent. They should be self-driven, highly motivated, creative with excellent communication skills in written and spoken English and Cantonese
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experiments involving molecular biology techniques and biostatistical analysis Undertake other duties as assigned 5.5 workday per week is required Requirements a Ph.D. degree, preferably with experience in
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Pharmaceutical Sciences, Pharmacology, Biology, Molecular Biology, Biochemistry, Immunology, Bioengineering, Chemistry, Data Science or related fields. Post-doctorate experience preferred. Proven track record in
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and friendly working environment within the research group. Requirements: Education and Expertise: Ph.D. in Pharmaceutical Sciences, Pharmacology, Biology, Molecular Biology, Biochemistry, Immunology
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related discipline, with good experience in cell culture, molecular biology and animal handling; (ii) relevant post-doctoral training in Reproductive Biology; (iii) research expertise and experience 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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responsibility, good organizational skills, leadership skills, the ability to work independently, and be self-motivated. The appointee will work on the research area of “Chemical Biology” under the supervision
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preferably in medical science, biological or biomedical science, or a related discipline. Research experiences in the stem cell biology, glycobiology, early embryonic development and placentation will be
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computational biology expertise to analyze complex datasets ensure compliance with ethical and regulatory requirements for clinical research provide leadership and mentorship to junior researchers collaborate
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. degree/ Doctoral degree by research/ equivalent in Cancer Biology/Biological/Biomedical Sciences, or related disciplines, with relevant work experience in cancer immunotherapy, cancer biomarker analysis