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patient care, and the project will provide the student with a valuable skillset in interdisciplinary research, encompassing bioinformatics, (meta)genomics and statistics with clinical relevance
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through The Lupus Trust. Training programme: Evidence synthesis, qualitative methods and analysis, mixed methods, statistical analysis potentially including meta-analysis, intensive longitudinal methods
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confined battery geometries. Advanced modelling—including computational fluid dynamics (CFD) and transient thermal analysis—is required to accurately capture heat flux distributions, temperature uniformity
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biodiversity while protecting wheat from one of the greatest biotic threats to production, the wheat rusts. The individual will: (i) visit Bhutan to characterise the spatial distribution and species composition
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distribution and with synthesised future sea-ice distributions; examine the impacts on barrier wind structure and associated surface turbulent fluxes. Examine the frequency, characteristics and ocean mixed-layer
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. translocations) affect the distribution, and thus impact, of such mutations within endangered populations is limited. Addressing these knowledge gaps is important for realising the potential of genomic data in
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of short-axis MR image sequences. Training You will be based at the Vision Computing Lab within the School of Computing Sciences, which specializes in deep learning for medical image analysis and neural
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the Leverhulme Trust – uses an innovative combination of participant generated drawings, gaze-contingent eye tracking, and computational analysis, carried out over multiple experiments to reveal how our
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on such jets — although their detailed properties remain unexplored. In this project, we will develop new computational methods to compute and characterize these novel wave solutions, with particular emphasis
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community, supported by cutting-edge research facilities and excellent training opportunities. The Norwich Research Park Biosciences Doctoral Training Programme (NRPDTP) is offering fully funded studentships