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of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will
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postholder will undertake quantitative petrological research to investigate magma storage conditions and timescales of magmatic processes in the lead up to and during selected volcanic eruptions of target
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document will provide information of what criteria will be assessed at each stage of the recruitment process. Further Information We pride ourselves on being inclusive and welcoming. We embrace diversity and
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instrumentation package. • Implement real-time signal processing and post-processing techniques to improve recording fidelity. • Design and test hardware on the bench to ensure robustness prior
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The Role Applications are invited for a Postdoctoral Research Associate in the field of Quantitative Sedimentology and Geophysics of Seafloor Processes. The successful applicant will be part of two
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near to Windsor Great Park and within commuting distance from London. For queries on the application process the Human Resources Department can be contacted by email at: recruitment@rhul.ac.uk Please
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should have experience of working with computational and analytical techniques in the areas of natural language processing (including, among others, topic modelling), computational linguistics, and machine
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ubiquitylation in cell regulation and human disease, to facilitate the development of drugs to treat diseases caused by abnormalities in phosphorylation, to generate reagents and improve technologies. A key remit
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of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, general pre-trained transformers, prompt engineering, knowledge graphs, knowledge
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, inclusive employment policies, flexible working arrangements, and campus facilities. Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable