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: Diversity Dashboard
As a Facilities Assistant with the City of Edinburgh Council, you will enjoy secure and flexible employment in a supportive environment that values your contributions. With opportunities for training and development, you can grow your career while making a positive impact on your community by maintaining essential buildings. The council promotes a diverse and inclusive workforce, ensuring that all employees feel respected and valued.
