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volunteer pilot-study in healthy participants involving intake of sugar and alcohol, neuroimaging, collection of biological samples and subsequent analysis using molecular biology techniques. You will be
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biology, ideally having studied lubrication biology in the joint Experience in molecular biology, computational immunology, bioinformatics and multi-dimensional imaging including light-sheet and 3D tissue
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. Application of these technologies will enable the Research Fellow: To identify measurable synovial tissue cellular/molecular parameters that predict flare amongst RA patients stopping csDMARDs for validation in
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will help shape the future of emergency medical response in the UK. Key responsibilities include: Supporting the design, implementation and evaluation of real-world simulations testing the use of drones
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– Marine EV Charging & DC Fast Charging), you will be part of a dynamic team working on cutting-edge research and industry projects. You will: Participate in and manage the research project with
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individually, make a real difference. The role A research fellow position is available to work on the project “Dynamic and Adaptable Monitoring of Greenhouse Gas Emissions with Robots” funded by the UKRI Natural
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development of mouse models, although this is not requisite. They will be expected to have excellent skills in molecular biology and experience in CRISPR/Cas9 genome editing. Furthermore, they will be expected
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Translational Myeloma Centre (OTMC) is seeking to appoint a motivated and enthusiastic Clinical Research Fellow to join its dynamic and expanding programme of translational research in myeloma. This is an
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biology, ideally having studied lubrication biology in the joint Experience in molecular biology, computational immunology, bioinformatics and multi-dimensional imaging including light-sheet and 3D tissue
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utilize preclinical tumour models, high dimensional techniques including spatial mass spectrometry and immunocytochemistry, alongside complementary state-of-the-art molecular biology approaches to identify