Research Associate: Digital Endocrinology & Hormone Rhythms
Listed on 2026-10-10
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Research/Development
Research Assistant/Associate, AI Business & Operations
University of Manchester invites applications for a Research Associate to join a team in Digital Endocrinology. You will conduct computational analyses on wearable-derived hormone time series to understand circadian rhythms and their variation across individuals.
The role combines independent research with mentoring PhD students and collaboration with clinicians, computer scientists and mathematicians. Proficiency in Python, Julia, R and MATLAB, plus experience with Bayesian inference and HPC
The Research Associate:
Digital Endocrinology & Hormone Rhythms role at University of Manchester is now open for applications in Manchester, England, United Kingdom.
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This posting is for the Research Associate:
Digital Endocrinology & Hormone Rhythms role at University of Manchester, based in Manchester, England, United Kingdom.
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