357 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" PhD positions in United Kingdom
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Bruce. Learning opportunities: You will develop an expertise in the aero-thermo-structural simulation and optimisation of hypersonic vehicles. Professional Development: You will have access to engaging
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London School of Economics and Political Science; | London, England | United Kingdom | about 20 hours ago
/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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related area. Though previous experience in the following is not essential (all the techniques required for this project can be learned), this project would be well-suited to candidates who: Are experienced
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committed to decolonising and diversifying Higher Education and fostering a supportive, inclusive, and equitable learning environment. Overseas applicants are welcome; however, the fee waiver covers only
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-media work (film/adaptation, creative writing, literature across media). Learn more about supervisors here . Music and Media: Musicology (both classical and popular music) and music history; composition
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experience-driven lifelong learning. It has campuses across the United States and Canada (in Boston; Charlotte, North Carolina; Portland, Maine; Oakland, California; San Francisco; Seattle; Silicon Valley
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moisture risks, directly affecting children’s health, wellbeing, and learning outcomes. This PhD will develop evidence-based, Passive House–informed retrofit strategies tailored to diverse school typologies
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. However, to realise this vision AI systems need specific abilities. One of these abilities is troubleshooting: experiments often go wrong and researchers constantly need to deal with and learn from
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, Statistical genetics, Physics or similar. The applicants should have an interest in ageing and dementia research and motivation for learning statistical modelling and analysing genome wide genotypic data
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jointly learn from images and text, most current systems are still limited in three important ways: they primarily rely on statistical pattern recognition rather than structured clinical reasoning