A postdoctoral postion is available at the Queensland Brain Institute at the University of Queensland.
The role
The successful appointee will develop image processing pipelines to analyse magnetic resonance imaging data. The work will focus on data analysis of functional MRI data, Diffusion Tensor Imaging data, Cerebral Blood Flow data, and resting state functional connectivity MRI data. This work will provide a translational platform from bench to bedside where work will be investigated at both the clinical and preclinical sides.
The person
Applicants must have a PhD or close to completion in the discipline of neuroscience or closely related field. Experience with Magnetic Resonance Imaging such as functional MRI, structural Diffusion Imaging which should be reflected as data based publications is required. In addition, the appointee must demonstrate data analysis skills with a strong background in programming and provide evidence of their contribution to research including successful external grant applications.
The University of Queensland values diversity and inclusion and actively encourages applications from those who bring diversity to the University. Please refer to the University’s Diversity and Inclusion webpage (http://www.uq.edu.au/equity) for further information and points of contact if you require additional support.
This role is a full-time position; however flexible working arrangements may be negotiated.
Remuneration
This is a full-time, fixed term appointment (available immediately) at Academic Research level A or B (Level of appointment will be commensurate with qualifications, experience and academic achievements). The remuneration package will be in the range $64,533.50 - $109,419.20 p.a., plus employer superannuation contributions of up to 17% (total package will be in the range $75,504 - $128,020 p.a.).
Position Description
Download File 501558_3035702_Postdoctoral Research Fellow_2018.pdf
Enquiries
To discuss this role please contact Dr Fatima Nasrallah on +61 7 344 33004 phone or [log in to unmask] .
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