Rollins School of Public Health
4 days ago
PhD Opportunity in Chronic Disease Epidemiology, Machine Learning, and Data Science SRM School of Public Health in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Available
Country
United States
University
Rollins School of Public Health

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About this position
PhD opportunity at SRM School of Public Health for research at the intersection of chronic disease epidemiology, non-communicable diseases (NCDs), population health, risk prediction, machine learning, artificial intelligence, health data science, and digital health.
The post invites motivated candidates for upcoming PhD admissions under the guidance of Prakash M. The research themes include chronic disease epidemiology, NCDs, large-scale health datasets, real-world health data, predictive analytics, and data-driven public health interventions.
Applicants with backgrounds in public health, epidemiology, biostatistics, statistics, data science, health data science, computer science, medicine, nursing, or allied disciplines are encouraged to apply. The ideal candidate should have an interest in research methodology, quantitative analysis, epidemiology, and programming/data science, or be willing to build these skills during the PhD.
How to apply: interested candidates should DM the poster with a CV and a brief statement of research interests, and apply through the SRMIST Ph.D application form. No deadline is mentioned in the post.
Funding details
Available
What's required
Candidates should have a background in public health, epidemiology, biostatistics, statistics, data science, health data science, computer science, medicine, nursing, or allied disciplines. A strong interest in research methodology, quantitative analysis, epidemiology, and programming/data science is preferred, or willingness to develop these skills during the PhD.
How to apply
Interested candidates should apply through the SRMIST Ph.D application form. They may also DM the poster with a CV and a brief statement of research interests.
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