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fractionation (i.e. surface biotinylating, gradient centrifugation, and be proficient in advanced data analysis (i.e. R, Python). Excellent analytical, organisational, and problem-solving skills are essential
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international, competitive research environment High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute
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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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of processes through real-time data acquisition and analytics; component fabrication (additive manufacturing); characterisation (e.g. SEM, EDX, XRD, XPS, Raman spectroscopy, nanoindentation, AFM, etc.); and
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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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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