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mechanisms by which FAT protocadherins contribute to chromosomal instability and eventually shape cancer evolution. We are seeking a highly motivated and ambitious Postdoctoral Researcher to join our team
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career development of our postdocs and research staff. To help them thrive and achieve their ambitions, we have created a comprehensive range of opportunities and initiatives designed to provide
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research, adapting existing and developing new scientific techniques and experimental protocols. You will work with limited supervision to design and accurately execute experiments to achieve the goals
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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in Mass Spectrometry and Structural Glycobiology to work under the supervision of Prof. Weston Struwe for a period of 24 months. The project, funded by the UKRI, centres on developing advanced methods
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of Oxford. The post is funded by the National Institute for Health and Care Research (NIHR) and is fixed term for 24 months. The researcher will develop multi-sensor 3D reconstruction algorithms to fuse
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engineering, materials science, spectroscopy or fluorescent systems. Candidates with prior experience in the design, development and engineering of luminescent sensors and pressure sensitive paints are strongly
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it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid crystal resins. Additionally, you will develop
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organisational skills that might include, sample management, electronic lab books, working with collaborators. Ability to work supportively in a laboratory environment, and to supervise and educate junior co
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network telemetry. You will contribute to the development of a framework that reduces the carbon emissions of networks through the use of carbon-aware network telemetry, and the implementation of new