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of equipment for testing construction materials, including data logging and storing results for later analysis. This role will be based on the University campus, with scope for it to be undertaken in a hybrid
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power grids against geomagnetic disturbances and radiation hazards. While data-driven models have gained prominence, balancing high-fidelity predictive accuracy with physical interpretability remains a
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of Molecular Biology Research Institute / Unit Information The MRC Laboratory of Molecular Biology (LMB) is one of the birthplaces of modern molecular biology and has played an important role in the development
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opportunities for communications and new business. About you The successful candidate should have relevant experience in administration, managing external partners and the handling of data. In addition, the post
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of your career, there is a role for you. We believe everyone has their own unique skills to offer. We would be thrilled if you would consider joining our thriving University. Further information about the
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, and the successful applicant’s work will establish a method to add new dimensionality to cryoEM data using specimen potential maps. You will develop methods to detect potential gradients in cryogenic
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with examinations and teaching events. Acting as a key point of contact for students and staff, the role also involves managing shared inboxes, communicating important information, maintaining accurate
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to support the collection and collation, analysis and presentation of both large-scale survey data, as well as extensive qualitative data. The successful candidate will work closely with the lead researchers
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collation, analysis and presentation of both large-scale survey data, as well as extensive qualitative data. The successful candidate will work closely with the lead researchers and UEFA. The role requires
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. Role The Research Associate will support data collection, data analysis and write up of findings of the project under the guidance of Dr Dusana Dorjee. This will involve preparation of a mixed-methods