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Research Associate Investigating Cerebrovascular Physiology Using MRI

The University of Manchester - Biology, Medicine Health - Division of Psychology, Communication and Human Neuroscience - School of Health Sciences

Location: Manchester
Salary: £36,924 to £45,163 per annum, dependent on relevant experience
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 13th January 2025
Closes: 27th January 2025
Job Ref: BMH-027642

Job reference: BMH-027642
Salary: £36,924-£45,163 per annum, dependent on relevant experience
Faculty/Organisational unit: Biology, Medicine Health
Location: Oxford Road
Employment type: Fixed Term
Division/Team: Division of Psychology, Communication and Human Neuroscience
Hours per week: Full time (1 FTE)
Closing date (DD/MM/YYYY): 27/01/2025
Contract duration: 24 months (From 1st April 2025 to 31st March 2027)
School/Directorate: School of Health Sciences

Background

This position is suitable for a talented imaging scientist who wants to join a growing team investigating cerebrovascular physiology using MRI. The post-holder will work primarily on an ongoing longitudinal project, measuring blood-brain-barrier dysfunction in people for 3 years after ischaemic stroke, and relating this to cognitive decline. The post is funded by an award from the National Institute of Health, USA, led by Professor Marion Buckwalter from Stanford University in partnership with the University of Manchester and the University of Columbia. The project is part of a multidisciplinary collaboration in which the University of Manchester forms the ‘Imaging Hub’.

The post-holder will be based in Dr. Parkes’ neuroimaging research group, comprising PhD students and post-doctoral researchers with varied backgrounds including physicists, neuroscientists and clinicians. The group is based in the Division of Psychology, Communication and Human Neuroscience within the Faculty of Biology, Medicine and Health.

Overall Purpose of the Job

The Research Associate employed in this role will have overall responsibility for the efficient analysis of MRI data acquired from three centres. They will work primarily on the dynamic contrast-enhanced MRI data to implement and deploy computer models to extract physiological parameters from the imaging data. They will work with other staff in Manchester, to analyse additional MRI data including arterial spin labelling, quantitative susceptibility mapping, diffusion-weighted, FLAIR and T1-weighted scans, and organise the imaging outputs for ease of access of the broader project team.

The team includes leading experts in stroke research and the post-holder will have the opportunity to gain knowledge of stroke physiology, neuroinflammation and cognitive neuroscience.
There will also be scope to evaluate different analysis approaches and develop alternative imaging acquisition techniques.

What you will get in return:

  • 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

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.

Our University is positive about flexible working – you can find out more here

Hybrid working arrangements may be considered.       

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Any CVs submitted by a recruitment agency will be considered a gift.

Enquiries about the vacancy, shortlisting and interviews:

Name: Prof Laura Parkes

Email: Laura.Parkes@manchester.ac.uk

General enquiries:

Email: People.recruitment@manchester.ac.uk

Technical support: jobseekersupport.jobtrain.co.uk/support/home

This vacancy will close for applications at midnight on the closing date.

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