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and clinical neuroscience. This project involves development of machine learning methods for mapping the relationships between diffusion MRI (dMRI) and phase-sensitive OCT (PS-OCT) in the same tissue
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-laser-welding of optical laser components to structural components (ps- and fs-pulsed lasers) Advanced utilisation of powder-bed laser fusion metal additive manufacturing. Test methods of evaluating
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examination, which must be passed prior to taking up the award. ECRs will not have held a permanent academic post or a permanent post with a research-related element, or one which allowed them to supervise PhD
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will be tailored to your expertise, spanning from hardware design to system-level optimization and control methods. For the AI position, you will develop machine learning models that incorporate physical
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responsibilities will include: Pre-registering data analysis plans; Leading and conducting advanced statistical analyses (e.g., twin/family designs, genomic and epidemiological methods, longitudinal modelling
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Computational Methods for Advanced Research to Transform Biomedicine (SMARTbiomed ), an international collaboration that integrates large-scale, multimodal biomedical data with advances in statistical and machine
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Computational Methods for Advanced Research to Transform Biomedicine ( SMARTbiomed ), an international collaboration that integrates large-scale, multimodal biomedical data with advances in statistical and
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legal research methods Knowledge and familiarity with critical and feminist approaches to gendered violence Knowledge and familiarity with research on online environments, in particular social media
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application of comprehensive polar metabolite analysis methods. Scientists are encouraged to apply if they have substantial practical experience in the development of comprehensive quantitative methods
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. Research will focus on identifying and publishing results in methods to build foundation models, using multimodal and multiscale health data. The role is funded for 24 months in the first instance. About You