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machine learning, data science, mathematics or a computational science), or a postgraduate qualification with a major statistical component. There is scope for the role to be undertaken in a hybrid manner
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inspirational learning and impactful research at the heart of this strategy, recognising our academic expertise as our greatest asset. The Team You will be working as a Cyber Security Analyst (Trainee) as part of
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be called upon to provide instruction for safe operation of conventional lathes and milling machines in our student workshop. You will also provide technical advice, instruction and support to academic
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a useful reconstructed image by employing a suite of AI/machine learning tools with limited impact on the task dependence. Specifically, the successful candidate will develop models and methodologies
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marginal structural models will be extended with machine learning techniques for counterfactual prediction and to support sensitivity analyses Candidate The studentship is suited to a candidate with a strong
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friendly team you will also receive: Working daily allowance for food and drinks* Free car parking (where available) 25 days holiday plus bank holidays (increasing with length of service) Generous pension
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adapt advanced machine learning frameworks (SPARKS and CEBRA) for supervised and unsupervised analysis of high-dimensional neural data to decode multisensory information Investigate how neural
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is funded by EPSRC, titled “Adopting Green Solvents through Predicting Reaction Outcomes with AI/Machine Learning”, involving academic investigators from 3 institutions (Imperial College London
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centres. At Cambridge, our mission is to contribute to society through world-class education, learning, and research. With a deep respect for tradition and a bold vision for the future, we continue to shape
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environments Enjoys helping others learn and grow Is confident using lab or workshop equipment like cement mixers, hydraulic presses, and testing machines Has worked with materials like concrete, soil, or timber