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biological science, together with relevant laboratory and computational experience (flow cytometry, cell culture, molecular sub-cloning and analysis of next generation sequence data). Experience in coding 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 a research project, and experience of acquisition and analysis of clinical and cognitive data in healthy elderly and clinical samples. You should have excellent organisational and communication skills
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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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scheduling in compliance with ethical standards and data protection regulations. You will also perform pre-processing and basic analysis of neuroimaging data under the guidance of senior researchers and
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collection documentation is in order. About You You will have a degree in biomedical sciences, physical sciences, psychology or related discipline along with experience with acquisition and analysis
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to meet strict deadlines whilst dealing with a high volume of work Significant experience required in the use of Microsoft Office suite including data analysis This role does not meet the criteria
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financial management within a complex and fast-paced environment, along with strong financial analysis and problem-solving abilities. Excellent communication skills and the ability to collaborate and
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vivo using rodent models. You will have strong expertise in confocal microscopy and data analysis using R coding and ImageJ. We also expect experience in using ELISA for protein binding studies