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Field
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research. We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and drive the translation of this strong basic
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research. We study the fundamental molecular, cellular, and physiological processes that underly normal and abnormal cardiovascular and metabolic function and drive the translation of this strong basic
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effort to combat GBM with surgery, radiation and chemotherapy, 90-95% of patients succumb to the disease within 5 years of diagnosis and nearly all patients experience disease recurrence, usually within 6
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or scripting in Python, R, or bash/zsh on Linux/HPC environments. Experience working with clinical research data, including neuroimaging and clinical data collection, image processing, and statistical analysis
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collection, image processing, and statistical analysis. Understanding of developmental neuroscience or clinical neuroimaging contexts (e.g., perinatal brain injury, congenital or preterm cohorts). Ability
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collaborative links with the Newcastle Magnetic Resonance Centre (NMRC), the department has also access to state-of-the-art functional magnetic resonance imaging (fMRI) facilities. The department benefits from
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compared to numerical data (UU), and field measurements, obtained from Orsted. The goal of the team is to identify and model the entrainment processes which ‘replenish’ the kinetic energy deficits generated
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& Medicine. Department: Res Dept of Cardiovascular Imaging. Contact details:Alkystis Phinikaridou. alkystis.1.phinikaridou@kcl.ac.uk Location: St Thomas' Campus. Category: Research. THIS VACANCY IS OPEN TO
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terrain and vegetation structural modelling. Relevant knowledge and experience in development of automated processing methods and workflows for environmental and geospatial data is also essential. About
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, imaging, and 3D tissue model establishment will be essential to the role. Application Process If you would like to discuss this role, please contact Prof Eric O’Neill at eric.oneill@onccology.ox.ac.uk