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Job Opportunity: Research Associate in MRI Physics for Neuroscience (Fixed Term):

Job description:

Job location: Cambridge
income: £36,024 to £44,263 per annum
Hours: Full Time
Contract Type: Fixed-Term/Contract

Published in: 30th April 2024
Closing date: 30th May 2024
Reference: PJ41480

 

Exciting opportunity for a Research Associate in MRI Physics for Neuroscience to join Professor Zoe Kourtzi 's Neuroscience team (Adaptive Brain Lab: https://www.abg.psychol.cam.ac.uk) and MR Physics teams at :
Wolfson Brain Imaging Centre, Cambridge (Prof Guy Williams), Translational Neuroimaging laboratory, Cambridge (Dr Stephen Sawiak) Purdue MRI Facility, School of Health Sciences, Purdue University (Prof Uzay Emir).
Project Focus:
The prosperous applicant will develop and implement innovative ultra high-field MRI and MRS sequences, protocols, and data analysis pipelines to address cutting edge neuroscience questions. They will join a research-focused multi-disciplinary team of MRI physicists and neuroscientists using neuroimaging in both human and animal models for discovery and translational neuroscience.
The research activity is at the core of a Wellcome Trust funded Collaborative award that brings together a cross-disciplinary team of international experts to build cutting edge MRI tools for investigating brain network dynamics for adaptive behaviour. Our work programme bridges work across species (mice, humans) and scales (local circuits, global networks) to uncover the network and neurochemical mechanisms that support learning and brain plasticity.
Development Opportunities:
Our collaborative research programme provides unique opportunities for cross-disciplinary training in innovative methodologies at the interface of MRI Physics, animal and human neuroimaging, neurotechnology and computational science. The prosperous applicant will have the opportunity to participate in workshops and retreats across the network as well as exchange visits across labs to facilitate cross-disciplinary training and collaborative working.
candidates should hold a PhD (or have submitted by the time of appointment) together with a strong academic track record, in MRI Physics, Chemistry, Biomedical Engineering, or another significant area that provides a solid grounding in MR physics.
A strong academic track record quantitative and programming expertise are essential.
practice with developing and implementing MRI protocols for biomedical , neuroscience research.
practice with pulse sequence coding and MRI data analysis.
The prosperous applicant should demonstrate enthusiasm for generating new expertise, openness to learning new approaches, and capability to contribute to a multidisciplinary team.
Fixed-term: The funds for this post are available for 18 months in the first instance with the potential for an extension up to 3 years.
To apply online for this vacancy and to view more information about the function, please click on the Apply button above.
Please ensure that you upload your Curriculum Vitae (CV) and a covering letter in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.
For informal inquiries, Contact Us by either Professor Zoe Kourtzi at zk240@cam.ac.uk or Professor Uzay Emir at uemir@purdue.edu.
Closing Date: Thursday 30th May 2024 at 12 Midnight.
Interviews: Week commencing 17th June 2024.
Please quote reference PJ41480 on your application and in any correspondence about this vacancy.
The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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Job Category:  [ View All Jobs ]
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Employment type:
Salary: Unspecified
Degree: Unspecified
Experience (year): Unspecified
Job Location: Cambridge, Cambridgeshire England
Address: Cambridgeshire
Company Type Employer
Post Date: 04/30/2024 / Viewed 4 times
Contact Information
Company:
Contact Email: zk240@cam.ac.uk


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