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the Cardiovascular Research/Genetic and Molecular Epidemiology in the Department of Medicine, School of Clinical Medicine (Ref.: 532027) We now invite applications for the captioned post. Duties and Responsibilities
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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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performance. Applicants should possess a Ph.D. degree, proven experience and good publication record in molecular and/or developmental biology. Experience in tissue culture and molecular biology is essential
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, molecular and cell biology, and animal models. Skills in bioinformatics are advantageous. Candidates should be highly motivated and have a track record of publications in international journals. The appointee
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communication abilities. Preference will be given to candidates with research experience in structural biology and molecular biology. In particular, we seek applicants with expertise in techniques relevant
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culture, cellular/molecular biology, flow cytometry and animal studies. Applicants should be self-motivated, organized and able to work independently as well as in a team; and have the ability to multi-task
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one of the following programming languages: R, Perl, Python, C/C++, JAVA, etc. Experience in cancer research and/or molecular biology will be an advantage. Preference will be given to those with
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the possibility of renewal subject to funding availability and satisfactory performance) Applicants should possess a doctoral degree (Ph.D.) in Stem Cell Biology, Molecular Biology, Developmental Biology, or a
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, molecular and cell biology, and animal models. Skills in bioinformatics are advantageous. Candidates should be highly motivated and have a track record of publications in international journals. The appointee
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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