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applicant will work with the ReXIl team, AIML, and 4DMedical to turn data into clinical impact. They will be responsible for developing algorithms for image analysis, creating predictive models for disease
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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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methodologies and statistical analysis within population-level epidemiological research. The role spans lifestyle epidemiology, multi-omics, and cardiometabolic health, with a focus on generating high-quality
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prototype systems that demonstrate practical outcomes for complex reasoning and understanding tasks. This role offers the opportunity to combine software engineering with cutting-edge AI research, including
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providing excellent customer service and discretion in dealing with matters accuracy, absolute attention to detail and highly organised. Planning, analysis, and communication skills together with the ability
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displacement and the length of such deformations (or displacements). As later steps, we will then look at time series data (or movies of images) and also at out-of-plane 3-dimensional deformations. This will
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sensing systems for underwater platforms. This role combines simulation, experimental investigation, and data integration to inform prototype design and deliver impactful research outcomes within a
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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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protocols, coordinate grant applications, manage data collection and analysis, and ensure the smooth flow of research documentation across multiple funded digital health and evaluation projects. You will play
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with research databases including building projects, data entry, data curation and management, data extraction for analysis experience working with clinical services and health systems (e.g., as part of