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will be a dynamic self-starter, exceptionally well-organised and have a positive attitude. Working with work with academics, researchers and PhD students in managing and conducting research activities
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performance computing clusters would also be advantageous Strong foundation in Fluid Dynamics Strong prior experience in CFD – particularly in battery fire combustion and spread. Strong skills in turbulence
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extracellular histone, a damage-associated molecular pattern that is implicated in adverse outcomes after injury. This project will include using a range of clinically relevant models as well as in vitro
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we are seeking a scientist who understands and enjoys challenges in atmospheric and climate dynamics, weather prediction and predictability. You will take a lead on the deployment and evaluation of a
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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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lavage samples – phenotypic, functional and molecular biology assays. Analyse and interpret data. Apply knowledge in a way which develops new intellectual understanding. Disseminate research findings in
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applicants should be ideally be proficient with in vivo immunology, flow cytometry, basic tissue culture and molecular biology techniques. Prior experience with microscopy (particularly confocal) and human
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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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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