The University of Manchester invites applications for a Research Associate to join a new team in Digital Endocrinology. You will lead computational analyses of wearable-derived hormonal time series to understand circadian rhythms and contribute to precision medicine applications.
You will work with an international team of clinicians, computer scientists and mathematicians, develop models based on differential equations, and supervise PhD students.
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Research Associate, Digital Endocrinology & Hormone Modeling 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
