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Johns Hopkins University Bloomberg School of Public Health

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Postdoctoral Fellow Positions in Biostatistics, Health Policy, and Data Science & AI in Health and Medicine Johns Hopkins Bloomberg School of Public Health in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

Johns Hopkins University Bloomberg School of Public Health

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Keywords

Computer Science
Data Science
Biostatistics
Biology
Artificial Intelligence
Health Policy
Medical Science
Causal Inference
Salud Pública
Statistics
Machine learning

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About this position

Postdoctoral Fellow positions are available in the Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. The post highlights two research directions:
• Statistical Methods for Health Policy, including applied causal inference research and development of statistical methods for evaluating health policies, working under the direction of Elizabeth Stuart in collaboration with researchers at Weill Cornell.
• Data Science & AI in Health and Medicine, focusing on data science, artificial intelligence, computational tools, and statistical methods for health, biomedical, and clinical research.

These opportunities are especially relevant for candidates with training in biostatistics, statistics, public health, causal inference, data science, AI, machine learning, biomedical research, or clinical research. The positions are research-intensive postdoctoral fellowships rather than degree programs.

Institution: Johns Hopkins Bloomberg School of Public Health. Collaborating researcher mentioned: Elizabeth Stuart. The post also references Weill Cornell as a collaborating institution.

Funding details, stipend, and deadline are not specified in the post. Interested applicants should review the linked pages for each research area and follow the application instructions there.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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