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【访学招聘】哈佛大学正在招收访问学者、博士后!

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  • 2020-06-29
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哈佛大学(哈佛,Harvard University),于1636年始建, 坐落于美国马萨诸塞州,是一所享誉世界的私立研究型大学,前身是新市民学院,由马萨诸塞州殖民地立法机关创建,是著名的常春藤盟校成员。

想要出国访问学习的小伙伴看过来啦,哈佛大学生物统计学、生物医学、应用数学、统计物理、计算机科学方向正在招收访问学者、博士后!51访学网小编每周定时更新最新的访学招聘信息,感谢关注51访学。

Position:

TitleResearch Fellow Positions in Network Scienceand Biomedical Smartphone Research

School:Harvard T.H. Chan School of Public Health

Department/Area:Biostatistics

Position Deion:

The Onnela Lab in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health is seeking candidates with a Ph.D. or a visiting scholar in biostatistics, applied mathematics, statistical physics, computer science, or a related quantitative field for two-year Postdoctoral Research Fellow positions.

These positions involve developing statistical methods, data analytic tools, and mathematical models for analyzing two different types of systems.

In the first area, statistical network science, we develop methods that are at the intersection of statistical learning and network science with applications in social and biological networks.

In the second area, smartphone-based digital phenotyping, we develop tools and methods for analyzing data collected by our smartphone platform.

Our ongoing applied studies in this area involve diverse patient populations from neurology to psychiatry and oncology.

The candidates can focus on one of these areas only or may work across both, depending on interests and expertise.

Basic Qualifications:

In biostatistics, computer science, applied mathematics, statistical physics, or a related quantitative field. Excellent programming skills in Python or similar language, as well as strong oral communication and writing skills are required.

Additional Qualifications

Special Instructions For more information about the lab, please visit https: // www. hsph.harvard.edu/onnela-lab/.

Contact Information:Kenzie Carlson

Contact Email:@hsph.harvard.edu

Equal Opportunity Employer :

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.

Minimum Number of References Required 2

Maximum Number of References Allowed 5

Supplemental Questions

Required fields are indicated with an asterisk .

Applicant Documents

Required Documents

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