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cell culture and in vivo DDEB disease models, carrying equivalent disease causing single nucleoid variants and mimicking key features of the human disease. The Jacków-Malinowska lab has the opportunity
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animal models of infection. Similarly, we have found that IFN restricted intracellular infection with Salmonella, an enteric pathogen with similarities to Shigella. This MRC-funded project will investigate
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, efficient data denoising and biophysical modelling of the tissue microstructure. In this position, you will work on developing advanced preclinical MRI techniques and you will employ them for 1) in-vivo mouse
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characterisation of liver micrometastases development in cancer, based on a novel MRI approach which combines multi-dimensional diffusion-relaxometry acquisitions, efficient data denoising and biophysical modelling
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criteria Experience in ex vivo and in vitro models of cardiovascular disease Experience in spatial transcriptomic, single cell sequencing or other -omics techniques and data analysis Experience in tissue
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support. About the role: We are seeking a highly motivated postdoctoral researcher with expertise in statistics (preferably longitudinal modelling) and an interest in developmental cognitive neuroscience
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longitudinal modelling) and an interest in developmental cognitive neuroscience or psychology to join the research team led by Dr Divyangana Rakesh. The lab is seeking someone who is passionate about
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which combines multi-dimensional diffusion-relaxometry acquisitions, efficient data denoising and biophysical modelling of the tissue microstructure. In this position, you will work on developing advanced
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the following areas will be valued: logic in computer science, database theory, finite model theory, structural decomposition methods, term rewriting, and parameterized complexity theory. Travel funding will be
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theory, finite model theory, structural decomposition methods, term rewriting, and parameterized complexity theory. Travel funding will be available to you, and you will have the opportunity to interact