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a plus. Has relevant experience in the areas of Digital Signal Processing (DSP) design and implementation is a plus. Experience in electromagnetic simulation using CST Studio Suite and circuit
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now’ to complete your details. Please upload a copy of your CV and Cover Letter with the application. Informal enquiries may be addressed to Graham Naylor, graham.naylor@nottingham.ac.uk Please note
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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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evaluation of real-world simulations testing the use of drones to deliver defibrillators. Collecting and analysing qualitative and/or quantitative data across multiple work packages. Working closely with 999
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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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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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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