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. • To develop and improve theoretical models of fluid dynamics, solid mechanics, soft matter or active matter. • To carry out analytical calculations in the context of theoretical models of fluid
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application of analytical pipelines to data generated by the WaSPP network. This is a three-year post that would suit a biologist or mathematician (or similar) with research experience in infectious disease
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fields. The researcher will join a multi-disciplinary team led by Professor Vili Lehdonvirta, consisting of both computer and social scientists. Principal investigator and community The project’s principal
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involving macrophage infections, immune cell culture, and the use of BSL3/CL3 containment procedures Proficiency in high-resolution analytical techniques, including qRT-PCR, Western and Northern blotting
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rich, meaningful data. You are proficient in qualitative data analysis tools (such as ATLAS.ti or similar) and know how to move from raw data to analytical insights with academic rigor. You are well
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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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an inclusive community that is respectful and fair for all. Find out more about the benefits of working at the University and what it is like to live and work in the Durham area on our Why Join Us? - Information
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information to specialists and within the wider academic community. Experience in designing and operating combustion test rigs; developing analytical engineering models using CONVERGE or other CFD tools; and
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respectful and fair for all. Find out more about the benefits of working at the University and what it is like to live and work in the Durham area on our Why Join Us? - Information Page The Department