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This PhD project aims to transform paediatric healthcare by addressing critical data and research gaps through advanced artificial intelligence (AI). Despite its importance, paediatric healthcare
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unintended consequences. The project relies on longitudinal school network data and advanced quantitative and computational methods. WHAT YOU WILL DO Work with longitudinal classroom network and survey data
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physics-based and data-driven methods to support the design and scale-up of these systems. This approach will reduce the need for costly experiments, improve scale-up predictions, and provide confidence
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professional development workshops in areas such as research communication, computing and data science, and professional progression through our Early Career Researcher Institute .Additionally, you will be
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candidate will have the opportunity to: Establish new deep-learning-based algorithms to reconstruct images in 3D and 4D Develop new image reconstruction algorithms for 3D and 4D X-ray data analysis, merging
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statistics. You will also collect data independently, conduct surveys and organise workshops with companies, policymakers and academics, under the supervision of two academic promoters. In addition, you will
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As the German National Library of Science and Technology, our future-oriented services ensure the infrastructural requirements for a high-quality supply of information and literature for research in
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studies, and biochemical interaction assays. Demonstrated success in developing innovative genome engineering strategies. Strong research management and project coordination skills, including rigorous data
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, self-starter, PhD student to run the follow up questionnaires and analyse the data. This offers an exceptional research opportunity to investigate the contribution of lifestyle factors, particularly