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澳大利亚新南威尔士大学单细胞测序课题组招收PhD
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研究方向： 通过单细胞测序获取大量创新性的不同有机体，组织或疾病的信息，并运用算法和计算数据科学来分析这些数据，以期能够找到解释对应的现象。 要求： • 有至少一种编程语言的经验，最好是python • 对数学，物理学或统计学有扎实的理解 • 对科学研究有浓厚兴趣 • 友善且有团队精神 • 加分项：有single cell rna-seq或bulk rna-seq经历 达到unsw英语要求（https://www.international.unsw.e ... nguage-requirements），且international students均分最好在85及以上 关于导师和团队： • 导师（fabio zanini）是意大利人，在马普所取得博士学位并在斯坦福进行博后研究，导师人非常好，很乐意指导学生。 • 课题组属于unsw医学院。我们专注于使用跨学科方法将生物学，医学，工程学，数据科学，计算机科学和统计数据结合来分析单细胞的异质性。目前主要研究新生儿肺，严重登革热的原因，病毒感染，并开发用于肿瘤细胞分类和网络分析的可扩展算法。 • 更多信息请移步https://fabilab.org/ 关于学校： 新南威尔士大学位于澳大利亚悉尼，这里温度适宜，风景优美。unsw是澳洲八大之一，qs排名前50。科研设施一流，同事们都富有研究热情和协作精神。 如有兴趣，请发个人简历和个人陈述（大概半页，描述why am i a good fit for this position?）到导师邮箱：fabio.zanini@unsw.edu.au 如条件合适，可提供全额奖学金。 下面附上导师写的英文版简介： open position: phd student in data-driven single cell biology about the project single cell sequencing is revolutionising biomedicine. our lab is generating and analysing extremely innovative data from different organisms, tissues, and diseases, yet we lack a unifying interpretation of these data. while physics has a standard model that explains most phenomena in the universe in terms of interactions between elementary particles, such a model is still missing in biology. to fill this gap, we are looking for a talented phd student to create a standard model of cell biology. netwok algorithms and computational data science will be combined on a daily basis. requirements: • experience with at least one programming language, preferrably python • a solid understanding of mathematics, physics, or statistics • passion for science and discovery • kindness and team spirit bonus: • previous experience with single cell or bulk transcrpitomics/rna-seq candidates should send an email to fabio.zanini@unsw.edu.au with a half-page statement of research interests (why am i a good fit for this position?) and a copy of your cv with two reference contacts. the position is planned to start in the third/last quarter of 2021, with some room for flexibility. about the supervisor fabio zanini is a senior researcher at unsw sydney and the head of the lab. he obtained a msc in physics and a phd in bioinformatics at the max planck institute for developmental biology in germany and subsequently completed a postdoc at stanford university. he has performed research in italy, germany, france, the us, and australia and has a network of international collaborators. about the lab data driven biomedicine lab is a young research group at unsw sydney, australia. we focus on single cell heterogeneity using an interdisciplinary approach that combines biology, medicine, engineering, data science, computer science, and statistics. we currently study the neonatal lung, the causes of severe dengue, viral infections, and develop scalable algorithms for tumor cell classification and network analysis. more information can be found on the lab website: https://fabilab.org. candidates who identify as belonging to groups underrepresented in the science, technology, engineering and mathematics (stem) fields are especially encouraged to apply. about unsw sydney our lab is located in the lowy cancer research centre at unsw sydney, australia, within a vibrant research and education environment that combines passion for biomedical science with top-notch equipment, core facilities, and a rich cultural scene. given the current circumstances with the covid pandemic, remote commencement will be considered. |
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