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, bioinformatics, biostatistics, mathematics, nutrition, epidemiology, biomedical engineering, medicine, or a related science field. Candidates should demonstrate quantitative/qualitative research skills, excellent
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bioinformatic approaches, and their functional characterisation. RESPONSIBILITIES: Planning, execution and analysis of experimental work Identification and prioritisation of genetic causes of non-obstructive
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; - Proven experience in molecular biology techniques, clinical pathology, and translational research with human samples; - Basic knowledge or high motivation to work in bioinformatics and omics data analysis
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Position Summary: The Department of Biostatistics & Bioinformatics (B&B) at the Duke University School of Medicine engages in methodological and collaborative research, providing international and
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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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endolysins from chloroplasts. In addition, the position involves the implementation of bioinformatic analyses for the identification of natural endolysins as well as the computational development and
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requirements are mandatory: A doctoral degree or an equivalent foreign degree in computer science, mathematics, statistics, bioinformatics, chemistry, or equivalent. This eligibility requirement must be met
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statistics/biostatistics, computer science, bioinformatics, or other related disciplines is required. Strong interest, research background and experience in the methodology research in statistical genomics
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partnerships with local Duke EM partners. •Strong quantitative skills in the areas of biostatistics, bioinformatics, and/or epidemiology. •Strong programming skills (R or Python preferred). •Knowledge
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Preferred Qualifications A PhD in neuroscience, bioinformatics, biomedical sciences, or psychology Strong programming skills Knowledge/Skills/Abilities Excellent communication skills and the ability to work