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MRC-funded Doctoral Position in Brain Microstructure Imaging Analysis using MRI 
and light sheet microscopy - Sir Peter Mansfield Imaging Centre, School of 
Medicine, University of Nottingham, UK

Application Deadline: 5.00 pm Friday 17 January 2020

Applications are invited for an MRC fully funded 3.5 year PhD studentship at 
the University of Nottingham – UK, under the primary supervision of Dr Matteo 
Bastiani. The successful candidate will engage in specialist training with ex 
vivo and in vivo (subject to the experience and wishes of the applicant) animal 
handling, preclinical imaging, and data analysis techniques. The student will 
also acquire new computational and modelling skills as well as learn practical 
laboratory procedures to make a brain transparent. This will allow the student 
to model features of the MR images using 3D microscopy images. The research 
will be carried out in collaboration with the Birmingham branch of the Centre 
Of Membrane Proteins And REceptors (COMPARE) and the School of Life Sciences of 
the University of Nottingham.

This project is offered through the MRC IMPACT Doctoral Training Programme. 
Applications should therefore be made through the IMPACT DTP website (project 
can be found under the University of Nottingham list):

For informal inquiries and more information feel free to contact by e-mail: 

The studentship is within the Integrated Midlands Partnership for Biomedical 
Training (IMPACT) Doctoral Training Program (DTP) funded by the UK Medical 
Research Council (MRC). Students will be supported for three years and six 
months on the following model:
·       Cohort Training Programme (3 months): additional training will take 
place during the programme 
·       PhD Research Project
·       The successful candidate will have their tuition fees covered and will 
also benefit from a standard PhD stipend, a research training support grant (up 
to £5k per year) and funds to cover conference attendance.

Required Qualifications
The PhD candidate must have a background in computer science, (applied) 
physics, mathematics, biomedical engineering, medical imaging, computational 
neuroscience or a related field from an approved program, with skills in 
scientific reporting/presenting, image processing or machine learning and 
computer programming (preferably C++/Matlab/Python). Prior (research) 
experience with MRI and/or medical image processing/analysis is an advantage. 
The candidate should be highly motivated and should be able to work in a team.

You must hold (or be about to obtain) a First or an Upper Second Class UK 
undergraduate degree or an equivalent degree from a recognised EU institution, 
in an area relevant to the projects you are applying for. Qualifications (or a 
combination of qualifications and experience) which demonstrate equivalent 
ability and attainment will also be considered. For example, a less than 
sufficient first degree may be enhanced to meet the requirements by the 
acquisition of a Distinction at Masters level or significant research 
experience gained from employment).

These studentships are available to UK and other EU nationals ONLY. For full 
details on eligibility, including residence requirements, please see the MRC 
website. We are not currently accepting applications from overseas students.

Further Information
The Beacon of Excellence in Precision Imaging (University of Nottingham) has 
access to cutting-edge MRI scanners and hosts high-performance computing and 
storage facilities dedicated to imaging research. Its vibrant 
highly-interdisciplinary research community will provide the student with 
support at many different levels. The cross-institutional supervisory team is 
composed of researchers that are still actively doing experiments in the lab.  
They can provide the necessary multi-disciplinary expertise. An additional set 
of cross-institutional and cross-expertise collaborators will offer further 
support to the student. Several professional development opportunities will 
also be available, and there will be continuous opportunity for the student to 
develop communication and leadership skills via university courses, internal 
seminars/symposia, annual post-graduate symposia, teaching opportunities, and 
outreach activities. One to one mentoring, and participation in an enthusiastic 
and innovative research environment will provide the student with all the 
necessary training to complete a PhD.

The full details for the position can be found at 
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