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Location:Hammersmith Campus About the role: We are looking for a Research Associate or Research Assistant to join a research programme studying how the immune system responds to changes in lipid
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quantitative methods, prevention science and intervention studies. The postholder is expected to work collaboratively with other programme members spanning multiple academic and professional practice disciplines
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includes projects in biomedical instrumentation, experimental hardware automation and programming, and computational science. Scientific publications in a relevant area are considered a significant benefit
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well as physiological responses. You will be working with an interdisciplinary team. We welcome applications from people with a broad background in Electrical Engineering and Electronics, Computer Science, and/or
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Tandem Industry-Academy funded project https://www.vaikuttavuussaatio.fi/en/funded-projects/tandem-industry-academia-tia-seed-2024/ . developing next-generation optical computing technologies for ultra
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. A particular focus will be on the soil micro-structure evolution and how this links to macro-scale behaviour, using advanced laboratory tests, imaging techniques, and computer simulations. The
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Full time research associate with the opportunity to work fully funded for 18 months on ultrasound data transmission across a metal barrier. The research is based on finite element and analytical models with a practical experimental platform. FTE: 1 (35 hours/week) Term: Fixed (18 months) The...
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Biomedical Campus. You will join an exciting research programme investigating fundamental mechanisms of ribosome assembly, translational control and how defects in these processes drive cancer development
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in patient samples. We are a multidisciplinary team of molecular and functional lab scientists, computational biologists, and clinical fellows. The successful applicant will be integrated within a
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Applications are invited for two Research Assistant / Research Associate posts on the project EQUATE - a project that investigates how Natural Language Processing (NLP) could be made globally more equitable. This UKRI Frontier project was selected for funding by the European Research Council...