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美国斯坦福大学医学院博士后职位—人口结果模拟建模

2023年08月14日
来源:知识人网整理
摘要:

美国斯坦福大学医学院博士后职位人口结果模拟建模

斯坦福大学(Stanford University),全名小利兰·斯坦福大学(Leland Stanford Junior University),简称“斯坦福”,位于美国加州旧金山湾区南部帕罗奥多市境内,临近高科技园区硅谷(Silicon Valley),是私立研究型大学,全球大学校长论坛成员,全球大学高研院联盟成员。

Postdoctoral Fellowship in

Population Outcomes Simulation Modeling

Stanford University, School of Medicine

Job Description

Postdoctoral Fellowship in Population Outcomes Simulation Modeling is available in Dr. Sylvia Plevritis’ Lab located in the James H. Clark Center at Stanford University. The fellowship will involve the development and application of computer simulation modeling to study the impact of alternative cancer screening and treatment strategies on cancer incidence and mortality rates in the US population and inform health policy. A major focus of the research will be focused on simulating the impact of breast and/or lung cancer screening guidelines and the impact of treatment on disease recurrence. The ideal candidate should have a Ph.D. in a field related to simulation modeling (i.e. operations research, applied mathematics) or a field that involves training in statistical analysis of clinical data (i.e. biostatistics, health-outcomes research, epidemiology). Experience in stochastic simulation modeling, Monte Carlo methods, parameter estimation, survival analysis and computer programming (R and Python) is critical. Knowledge of cancer epidemiology, cancer screening and treatment trials and analysis of cancer registry data is a bonus. Excellent verbal and written communication skills are necessary.

Applicants should submit a cover letter, CV and 3 references to Sonoko Rooney, Executive Assistant to Dr. Plevritis, email: sonoko@stanford.edu with subject line “Population Outcomes Simulation Modeling.”

This position is for two-years, full-time.

The ideal candidate is expected to work on-site 5-days per week and attend weekly lab meetings.

Stanford University is an equal opportunity employer.

Contact Information:

Sonoko Rooney

sonoko@stanford.edu

Plevritis Lab, Biomedical Data Science, School of Medicine

Stanford,California

United States

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