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- Tasks: Lead research on hormonal rhythms using advanced mathematical methods.
- Company: A top UK university with a supportive research environment.
- Benefits: Market-leading pension scheme, flexible hybrid working, and collaborative opportunities.
- Why this job: Make a real impact in digital endocrinology and advance your research skills.
- Qualifications: Familiarity with ODEs, parameter estimation, and Bayesian inference required.
- Other info: Join a dynamic team with excellent career growth potential.
The predicted salary is between 36000 - 60000 £ per year.
A leading UK university seeks a motivated Research Associate in Mathematical Biomedicine to conduct research on circadian hormone variability. The role involves leading projects on hormonal rhythm misalignment using advanced mathematical methods and models.
Candidates should be familiar with:
- Ordinary Differential Equations (ODEs)
- Parameter estimation
- Bayesian inference
This full-time position offers a market-leading pension scheme and benefits associated with a supportive research environment, with opportunities for collaboration and a flexible hybrid working arrangement.
Research Associate, Digital Endocrinology & Math Biomedicine in Manchester employer: The University of Manchester
Contact Detail:
The University of Manchester Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Associate, Digital Endocrinology & Math Biomedicine in Manchester
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the university and ask about their experiences. A friendly chat can give us insights into the culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your knowledge of ODEs and Bayesian inference. We want to show that we’re not just familiar with the concepts but can also apply them in real-world scenarios.
✨Tip Number 3
Showcase our passion for research! When we talk about our previous projects, let’s highlight how they relate to hormonal rhythm misalignment. This will help us stand out as candidates who truly understand the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can keep track of our application status easily!
We think you need these skills to ace Research Associate, Digital Endocrinology & Math Biomedicine in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ODEs, parameter estimation, and Bayesian inference. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about circadian hormone variability and how your background in Mathematical Biomedicine makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Research Experience: In your application, highlight any previous research projects you've led or contributed to, especially those involving hormonal rhythms or mathematical modelling. We love seeing how you’ve applied your knowledge in real-world scenarios!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our fantastic benefits!
How to prepare for a job interview at The University of Manchester
✨Know Your Maths Inside Out
Make sure you brush up on your knowledge of ordinary differential equations (ODEs) and parameter estimation. Be ready to discuss how you've applied these concepts in past projects, as this will show your practical understanding and ability to lead research effectively.
✨Familiarise Yourself with Hormonal Rhythms
Dive deep into the topic of circadian hormone variability. Understanding the biological context will help you articulate your ideas better and demonstrate your genuine interest in the role. Prepare to discuss recent studies or findings related to hormonal rhythm misalignment.
✨Showcase Your Bayesian Inference Skills
Since Bayesian inference is a key part of the role, be prepared to explain how you've used it in your previous work. Bring examples that highlight your analytical skills and how you can apply them to solve complex problems in mathematical biomedicine.
✨Emphasise Collaboration and Flexibility
This position offers opportunities for collaboration, so be ready to talk about your experience working in teams. Highlight any instances where you've adapted to different working styles or environments, especially in hybrid settings, to show you're a good fit for their supportive research culture.
