Publisher
source

Haiyan Zheng

1 year ago

Incorporating Covariate Information to Design and Analyse Precision Medicine Clinical Trials University of Bath in United Kingdom

Degree Level

PhD

Field of study

Mathematics

Funding

Full funding available

Deadline

December 31, 2026
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Country

United Kingdom

University

University of Bath

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Keywords

Mathematics
Precision Medicine
Medical Statistics
Bayesian Statistics
Computer Programming
Gaussian Mixture Model
Clinical Trials
Parabolic Subgroups
Applied statistics
Medical
Spatial Omics Experimental Design

About this position

?? Looking to do a PhD in Statistics and grow your career as a medical statistician?

We offer a fully funded PhD studentship (3 years), accepting applications from students worldwide, at University of Bath , UK

?? Department of Mathematical Sciences
?? Funding covers tuition fees + a stipend (£19,237 p/a in 2024/5) + a generous training support budget
?? Closing date: 12 January 2025
?? Interview date: TBC

?? Project : Incorporating Covariate Information to Design and Analyse Precision Medicine Clinical Trials
??More Info & How to Apply: https://lnkd.in/eSNzjvse

?? Informal enquiries: hz2075 (at) bath (dot) ac (dot) uk

Keywords: Bayesian statistics, borrowing of information, covariate , experimental design , mixture model , subgroup

Applicants should hold, or expect to receive, a First Class or high Upper Second Class UK Honours degree (or the equivalent) in mathematics , statistics , or a relevant subject. A master’s level qualification and good skills in computer programming would be an advantage. Non-UK applicants must meet the programme’s English language requirement by the application deadline.

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.

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