Job Description : We are looking for a highly motivated and innovative PhD student to explore the evolution and patterns of selection acting on Conserved Non-Coding sequences (CNCs) using computational comparative genomics. It is estimated that about 4-7% of the human genome is under functional selection, yet only 2% encode proteins. This implies that there is a repertoire of functionally important elements at least as large as the repertoire of protein-coding genes, whose functions remain largely unknown. The project will develop our lead findings and will benefit from established collaborations.
The ideal candidate should have a strong background in bioinformatics including programming skills, and experience/background in molecular evolution. A Diploma or MSc degree in Biology or Bioinformatics, practical experience in the Unix environment, and fluency in English are required.
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上一篇：瑞士日内瓦大学（University of Geneva）2010年分布式信息检索和索引研究项目博士研究员职位
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