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Harvard University T.H. Chan School of Public Health | Boston, Massachusetts | United States | 10 days ago
Center for Biostatistics in AIDS Research (CBAR), an organization within the Harvard T.H. Chan School of Public Health, is responsible for the design, monitoring and statistical analysis of clinical trials
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, College Of Arts & Sciences, Math & Statistics (24500622300507) Tracking Code: 24500622300507 Job Description The Undergraduate Academic Advisor in Math & Stat is the primary point of contact for all Math
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cutting edge design and process development capabilities to accelerate and bring the best in class medicines to patients around the world. POSITION SUMMARY This position will provide statistical support for
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About the Opportunity The Computational Clinical Psychology Lab at Northeastern University is seeking a highly motivated Postdoctoral Researcher. The focus of the lab is using innovative statistical
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; constructing and validating computational models for data analysis and simulation of cellular dynamics; using advanced computational techniques such as machine learning and statistical modeling to predict
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Boston College’s campus safety program, which includes the University’s safety policies and campus crime statistics reported during the previous three years, as well as the University’s fire safety program
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expected to have strong machine learning, statistical/mathematical modeling, and/or decision theory expertise. To learn more about the work in the group, check out the group website: https
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machine learning, statistical/mathematical modeling, and/or decision theory expertise. To learn more about the work in the group, check out the group website: https://imani.lab.northeastern.edu
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ability to: work as part of collaborative teams in designing, conducting, and reporting results from clinical trials and observational studies; provide the statistical expertise for, and lead the
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cognitive decline, searching literature and digital technology business sector to inform evolvement of the platform as well as guide study design and analyses, helping PIs conduct statistical data analyses