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considered for Research Assistant. Strong programming expertise in Python and C++, with experience developing real-time robotic and AI systems. Experience in deep learning and computer vision, including
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sciences, AI, machine learning or related fields. Strong background and track record in the development of geospatial foundation models from multi-modal Earth Observations is essential as well as strong
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, and human-centred computing. You will join the Vision & Human-Robot Interaction (VHR) Lab, a multidisciplinary research group working at the intersection of robotics, machine learning, and human
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signatory of the Armed Forces Covenant . an accredited Disability Confident Leader ; autism friendly university , committed to building disability confidence and supporting disabled staff .
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psycholinguistics and education. You will join a vibrant research community, working closely with Dr Bernabeu while integrating into the wider Learning in Families through Technology project. We offer a high degree
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than English, and/or ability to quickly learn Yiddish Strong knowledge of theoretical syntax, preferably with experience of analysing naturally occurring data Familiarity with R or comparable statistical
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/or Python. Willingness to learn unfamiliar tools as needed (e.g. GitHub, APIs, dispatch models). Familiarity with econometric techniques, especially panel data methods. Clear, concise written and
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activities that will enhance performance in the role and future career prospects, including those within the Cardiff Researcher Programme. To keep a ‘learning log’ to facilitate critical reflection