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in secure environments Background in medical image analysis (CT/MRI preferred) Knowledge of detection, segmentation, and model development methods Interest in multimodal or longitudinal clinical data
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image cross-correlation, particle image velocimetry, feature/object tracking, orthorectification, image segmentation and/or image analysis techniques that may be novel to glaciology (including AI methods
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research. This role sits on the DIAD beamline, a unique instrument that combines imaging and diffraction for correlative materials characterisation. About the Role We now have an opportunity for a
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would aim to: Organise and manage multicentre datasets of MRI brain imaging from patients with epilepsy and other neurological disorders Develop robust AI tools to segment and characterise neuroimaging
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, fluidics to characterise the role of a novel gene in atherosclerosis development and progression. You will become part of the Division of Cardiovascular Medicine based at the Centre for Human Genetics in