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computer programs to design experimental paradigms, analyse data and conduct advanced statistical analysis. Prior experience in running neuromodulation studies including TMS and TUS is essential. You will be
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, fluorescent microscopy, etc.), as well as extensive experience in quantitative proteomics (both sample preparation and data analysis) is expected. As a postdoctoral researcher, you are expected be able
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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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ZEISS LLSM, ZEISS Elyra, ZEISS 980 confocal, PicoQuant FLIM, PicoQuant Luminosa, and bioimage analysis of fluorescence microscopy images. You must have the ability to manage your own academic research and
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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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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
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approaches including targeted genetic murine models, primary cell culture and analysis, multi-omics and bioinformatics. The biological focus will be on vascular biology, immune cell function and metabolism
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background in Linguistics, and be willing to work in a Linguistically oriented environment. The post holder must have experience with EEG and should be able to carry out EEG acquisition and analysis of EEG
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trapping or fluorescence microscopy to study DNA replication; • develop and employ simulations and data analysis routines to analyze your data; • develop an interdisciplinary skillset by
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cancer biology, molecular biology, medicine, or neuroscience. Your expertise will include molecular biology techniques, advanced microscopy, quantitative image analysis, and primary tissue culture, all