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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Digital Endocrinology Research Associate in Manchester employer: The University of Manchester
The University of Manchester is an excellent employer, offering a vibrant work culture that values diversity and inclusivity. As a Sport Centre Assistant, you'll enjoy flexible shifts while contributing to a dynamic environment that prioritises high-quality experiences for all users. With ample opportunities for personal and professional growth, working at our esteemed institution allows you to make a meaningful impact in the community.
Contact Details:
The University of Manchester Recruitment Team
