Digital Endocrinology Research Associate

University of Manchester invites applications for a Research Associate to lead computational analyses of hormonal rhythms, using advanced mathematical models and time-series methods. The project, funded by UKRI, focuses on digital endocrinology and precision medicine with wearable-derived data in healthy and patient populations.

The successful candidate will work within an international team and contribute to PhD projects, with hybrid working arrangements possible.

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