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Johns Hopkins University

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Postdoctoral Fellowships in Statistical Methods for Health Policy and Data Science & AI in Health and Medicine Johns Hopkins University 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

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Keywords

Computer Science
Data Science
Psychology
Medicine
Biostatistics
Artificial Intelligence
Health Policy
Medical Science
Causal Inference
Salud Pública
Statistics

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About this position

Johns Hopkins Department of Biostatistics is currently hiring postdoctoral fellowship positions in two research areas.

1) Statistical Methods for Health Policy: This postdoc focuses on applied causal inference and statistical approaches for studying health policy. The role involves work under the direction of Elizabeth Stuart and collaboration with researchers at Weill Cornell on evaluations of mental health policies and services.

2) Data Science and AI in Health and Medicine: This fellowship is in the broad areas of data science and artificial intelligence, with emphasis on developing and applying novel data science approaches, computational tools, and statistical methods to advance health and biomedical research.

This is a postdoctoral opportunity at Johns Hopkins University in the United States. The post does not specify funding amount or deadline in the text provided.

Interested candidates should review the two linked postings and follow the application instructions on the relevant page for the area that matches their background and interests.

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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