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One Research Associate position exists in the data-driven mechanics Laboratory at the Department of Engineering. The role is to set up a machine learning framework to predict the plastic behaviour
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, manipulate large datasets, visualise data and perform numerical and statistical analysis is a requirement. Experience in handling 'big data', machine learning and working in distributed teams, is useful
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collaboration with industry partners and the use of real-world project data. Assisting with the management of a large research group working in the area of "data-centric infrastructure and construction". Applying
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Assistants is £32,546 - £35,116 and for Research Associates this is £37,174 - £45,413 per annum. Suitable candidates should have previous experience of genetic analysis of large scale genome sequence data and
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interaction and origins of mechanical failure under pressure. They should have expertise in microelectrode arrays and multilevel high-density routing for large-area sensor systems. Experience in multicomponent
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language processing (NLP), large language models (LLMs), machine learning (ML), and data visualization. The candidate will leverage their expertise in AI, statistics, and programming to design, develop, and evaluate
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of the structure and use of routinely collected cancer data. In this role, the postholder will act as a liaison between the National Disease Registration Service and the Departments of Public Health
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address and phone number, one of which must be your most recent line manager. For information about how your personal data is used as an applicant, please see the section on Applicant Data (https
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electrophysiology, optogenetics, and behavioural training in mice, and strong data analysis skills (e.g. Matlab or Python). For more information about the lab see https://www.pdn.cam.ac.uk/svl/ . Fixed-term
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PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded. Further information on the lab: https://www.pdn.cam.ac.uk/directory/ewa