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models for medical image analysis tasks including segmentation, classification, lesion characterisation, and representation learning Develop predictive models and risk prediction frameworks using imaging
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practice of imaging, cardiac mapping and targeted radiation therapy Create, develop and experimentally and clinically implement mechanistic and AI based algorithms Support the acquisition and analysis
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key responsibilities will be to: work on an ARC DP project aiming to develop of hybrid asymptotic methods based on exponential asymptotics and computational complex analysis apply these methods
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of research dissemination, as evidenced by peer-reviewed (or equivalent) publications and conference presentations. Proven previous experience in statistical analysis and reporting of research data
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research students. Experience in in-vivo calcium imaging, radiotelemetry , student supervision, or sophisticated analytical skills in electrophysiology, bioinformatics, image analysis or coding will be
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presentations. Proven previous experience in statistical analysis and reporting of research data (quantitative and qualitative) using statistical software packages such as Stata, R, mplus, SPSS or similar. High
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Full time, 3-year fixed term position, located on the Camperdown Campus at the School of Life and Environmental Sciences (SOLES) A rare opportunity to combine multimodal data analysis with hands
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environments sound scientific skills in the analysis and interpretation of data and published literature ability to work independently, under broad direction as well a part of a team contributing strategically
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, an outstanding collaborative research environment. Your key responsibilities will be to: conduct laboratory research and data analysis, making significant contributions to our understanding of brain metabolism and
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across large cohorts (e.g., >300 samples) demonstrated experience in data analysis, visualisation, and machine learning, using programming languages such as R or Python excellent interpersonal, verbal, and