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show evidence of understanding, expression and application of concepts and methods. Strong data analysis skills, especially in applied econometrics and statistical methods within health economics are
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, including the generation and analysis of complex datasets is desirable. Excellent communication skills, including the ability to write for publication and represent the research group at meetings
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to Good Clinical and Laboratory Practice standards, HTA guidelines and MHRA regulations. You will use a large variety of techniques from classical and molecular microbiology and handling and analysis
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establish routine cell surface proteome analysis using subcellular fractionation techniques, such as density gradient centrifugation and surface biotinylation followed by enrichment, to explore the surface
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, Biochemistry, or Biophysics. You should be driven, have experience in protein production, the analysis of interactions between macromolecules, and good background in structural biology and biophysics. Since your
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, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale genomic data analysis. You will be able to demonstrate how to organise and prioritise work
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. Experience with filamentous proteins, challenging protein purification and complex protein chemistry, and helical analysis would all be a plus. Enthusiasm for working in a laboratory environment and in a close
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. The project will also involve close collaboration with researchers from other disciplines within the Oxford Martin Circular Battery Economies Programme, who are working on second-life battery analysis, re
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of glycoprotein structural analysis using bottom-up mass spectrometry. The project will also include developing and applying applications in glycomics and native MS. Our goal is to characterise the structure