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We are excited to offer this opportunity to a highly motivated Research Associate to join an ambitious new team working in the field of Digital Endocrinology. The successful applicant will conduct original research aimed at understanding variability in circadian hormone profiles in humans, uncovering fundamental insights into endocrine function and supporting the diagnosis and management of endocrine conditions. The position is funded through a UKRI Future Leaders Fellowship awarded to Dr Eder Zavala: “Developing a mathematical and computational framework for digital endocrinology”. The work will build on hormonal time series data collected at unprecedented time resolution in healthy humans and in patients, including studies in real life settings with a state-of-the-art wearable device.
Job Responsibility:
Conduct original research aimed at understanding variability in circadian hormone profiles in humans
Lead on projects modelling the mechanisms behind hormonal rhythm misalignment
Use models to predict dynamic responses to stressors, sleep disruptions, and diagnostic tests
Use models to predict long-term changes that occur during disease
Account for variability in hormonal rhythms observed across individuals
Take advantage of unique datasets and advanced mathematical and computational methods
Help develop personalised models
Contribute to the projects of PhD students in the group
Collaborate with an international team of clinicians, computer scientists, and mathematicians
Requirements:
Experience with mathematical modelling using ODEs and/or DDEs
Experience with parameter estimation methods
Experience with HPC simulations
Familiarity with dynamical systems theory
Familiarity with network analysis
Familiarity with Bayesian inference frameworks
What we offer:
Fantastic market leading Pension scheme
Excellent employee health and wellbeing services including an Employee Assistance Programme
Exceptional starting annual leave entitlement, plus bank holidays
Additional paid closure over the Christmas period
Local and national discounts at a range of major retailers