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上海交通大学生物医学工程学院林关宁课题组2018年5月招聘博士后

高层次人才网编辑

2018-06-01

拟招聘博士后1-2名,从事基于基因组学的复杂疾病精准医学方面的研究

招聘条件:

1.      具有生物信息学、遗传学、生物统计学或者软件工程等相关专业的博士学位。

2.      熟练掌握处理及分析基因组学数据相关技术。有数据挖掘,机器学习等相关背景可优先考虑。

3.      在国际高水平杂志发表相关论文申请者优先考虑。

4.      具有良好的英文阅读、听说和写作能力。

5.      具有诚信踏实的科研作风、良好的职业道德、较强的团队合作。

岗位待遇:

1.      年薪不低于21万元/人,学校提供人才公寓可供租住。

2.      按照上海市和上海交大相关规定享受社会保险、公积金等福利待遇。(http://postd.sjtu.edu.cn/files.htm)。

3.      优先支持以项目负责人身份申请各级科研基金项目。

4.      根据研究产出有项目奖励。

5.      取得优秀科研成果、满足上海交通大学长聘教轨要求者,经评估后可直接获聘长聘教轨。

应聘方式:

1.      请将个人简历(包括学习工作经历、主要研究兴趣和内容、论文论著清单、获奖情况、参与科研项目列表、以及其他必要的支持材料)发至nickgnlin@sjtu.edu.cn。在邮件主题中注明“应聘博士后+本人姓名+学校”。

2.      遴选合格者安排面试。

课题组及负责人简介:

林关宁,博士,上海交通大学特别研究员,上海高校特聘教授(东方学者),生物医学工程学院博士生导师。长期从事研生物医学信息学在复杂型疾病的应用及临床大数据处理和分析。

课题组聚焦在以“计算+实验”的方式来提高对神经精神病和神经发育病症的理解、诊断、监测、和治疗。研究项目涉及计算方法学,生物医学大数据挖掘、 数据库/云平台搭建、疾病动物模型和临床诊疗标志物方面的研究。目标是开发神经系统和精神疾病,如自闭症、精神分裂症和强迫症等的有效疗法。已在Neuron,Nature Communication,American Journal of Human Genetics,Cell等国际高水平杂志已发表SCI论文。

实验室网址:http://bmi.sjtu.edu.cn/

Postdoctoral fellow in computational biology, Shanghai Jiao Tong University (SJTU), Shanghai, China

Job Description

A 2/3-year postdoctoral position in bioinformatics group of Dr. Guan Ning Lin at SJTU (bmi.sjtu.edu.cn) is open to applicants with solid computational biology/systems biology/bioinformatics/statistics/genetics backgrounds who are interested in applying their experience to study psychiatric disorders. The position is available immediately.

The focus of the project is to utilize heterogeneous high-throughput datasets (WES, WGS, RNA-Seq, proteomics) to discover druggable networks and pathways involved in the brain disorders.

Qualification

1.      Qualified candidates must have a PhD and a demonstrated strong ability in bioinformatics, systems biology, sequence analyses, network analyses or genetics including expertise in high-throughput data analyses, such as RNA-Seq, ChIP-Seq, CLIP-Seq, epigenomics, NGS, proteomics.

2.      Have Strong programming skills, such as Python, Java, R and Unix/Linux. The candidate should also be familiar with NGS algorithms and tools, such as Bowtie, cufflinks, BWA, STAR, RSEM, UCSC Genome Browser, samtools, bedtools, vcf-tools etc.

3.      Candidates with the knowledge of machine learning (deep learning, SVM and Bayesian inference) will be prioritized.

4.      Candidates have strong publication record (at least one first-author publication is required) will be prioritized.

5.      Excellent in English both in writing and speech.

6.      Qualified candidate should demonstrate the ability for independent and critical thinking, excellent communication and teamwork skills.

Terms of employment

1.      Successful applicants will be granted post-doctoral level welfare, basic annual salary RMB 210,000 (negotiable) with performance-based bonus.

2.      Successful applicants shall service a Full-time post-doctoral research contract for no less than 3 years. After 3 years on post-doctoral position, with outstanding scientific achievements and fulfilled requirements of the university, it is possible to submit a tenure-track position application for university assessment.

3.      Handle the settlement according to the post-doctoral management policy of Shanghai.

4.      We encourage and support postdoctoral researchers to apply for “postdoctoral innovative talent support programs”, “postdoctoral science funds”, and other national and/or local science and technology programs and postdoctoral funding programs.

 

Please send a resume and a brief statement summarizing research interests and experience to nickgnlin@sjtu.edu.cn and wwd-swxx@foxmail.com .

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来源:

http://postd.sjtu.edu.cn/

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工作地址:招聘职位:学历要求:发布时间:2018-06-01 发稿编辑:高层次人才网