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will have research experience in Algorithmic Game Theory or a related field and proficiency in programming and algorithm design. Excellent analytical and problem-solving skills together with strong
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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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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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approach to problem-solving with the ability to apply and develop new concepts and approaches Excellent verbal communication skills and the ability to deal with a wide range of people High level analytical
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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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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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to projects involving designing, conducting, and disseminating health economic studies using prospective research study or routine data, decision analytic modelling, health outcome assessment methods and other
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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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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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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