PhD Studentship: Bayesian Modeling -Dim Data
Listed on 2026-10-11
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Education / Teaching
Data Scientist, Academic
The University of Manchester invites applications for a PhD Studentship:
Bayesian Modeling of High-dimensional Structural Data. The project focuses on developing a comprehensive Bayesian learning framework for broad problems in biology, social science and engineering.
Hybrid locations include Birmingham, Bristol, London, Blackburn, Redcar or Doncaster, with the NIoT leading the initiative. Applicants should hold a 2.1 honours degree or Master’s in a relevant science or engineering field.
We have an opening for a PhD Studentship:
Bayesian Modeling for High-Dim Data in Manchester, England, United Kingdom within Engineering.
The following opening is for a PhD Studentship:
Bayesian Modeling for High-Dim Data with The University of Manchester.
Our group is growing, and we are hiring a PhD Studentship:
Bayesian Modeling for High-Dim Data in Manchester, England, United Kingdom.
This opening is for the PhD Studentship:
Bayesian Modeling for High-Dim Data role at The University of Manchester.
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