华大集团｜生物信息实习生-全球病原数据库 (Bioinformatics Intern - Global Pathogen Database)(J26707)

1. 发现溯源万种新型病毒，揭示病毒的宿主间跳跃过程和地域间传播特征； 2. 运用深度学习方法关联病毒多组学信息，预测病毒宿主网络，识别病毒传播分布的热点区域； 3. 参与CNNS系列文章调研，撰写和投稿。 1. Discover ten thousand new types of viruses, revealing the process of virus jumping between hosts and their transmission characteristics between regions; 2. Use deep learning methods to associate viral multi-omics information, predict viral host networks, and identify hotspot areas for viral transmission distribution; 3. Participate in the research of CNNS series articles, write and submit manuscripts.

1. 对病原微生物，分子进化和生态群落等研究感兴趣，自主学习能力强； 2. 有较强的计算机编程、基因组学或生物信息学基础； 3. 具有良好的文献调研和阅读能力，逻辑性好，可独立围绕一个主题调研形成总结或综述； 4. 英语优秀者和有项目经验者优先。 1. Interested in research on pathogenic microorganisms, molecular evolution, and ecological communities, with strong self-learning ability; 2. Has a strong foundation in computer programming, genomics, or bioinformatics; 3. Possesses good skills in literature research and reading, with strong logical thinking, and can independently conduct research on a topic to form summaries or reviews; 4. Preference for those with excellent English skills and project experience.