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。
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Position：
Title Research Fellow Positions in Network Science and Biomedical Smartphone Research
School：Harvard T.H. Chan School of Public Health
Department/Area：Biostatistics
Position Description：
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
Curriculum Vitae
Cover Letter
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