203 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" PhD positions in United Kingdom
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, reinforcement learning for environmental control, explainable AI for autonomous decision-making, multi-objective optimisation, and large language models as human–building interfaces. Robotics and Actuation
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to national priorities on sustainable agriculture and Net Zero targets. Furthermore, this project will enable the student to acquire skills in data analysis and visualisation, experimental planning, working
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Midlands Graduate School Doctoral Training Partnership | Birmingham, England | United Kingdom | about 2 months ago
of evidence-based interventions. The chosen candidate will join a strongly multidisciplinary team and learn clinical skills alongside academic skills related to review of the literature, research design, data
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work. The project will involve: Learning how to express software requirements precisely using formal models. Using these specifications to automatically generate test cases for software systems and code
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-benefits of Passivhaus student accommodation LCA result, implications and intercomparisons. Climate resilience in future climate scenarios Lessons learned For more details about the studentship see For
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our education, while benefitting them with our talent supply and collaborative research achievements. The University’s unique applied learning pedagogy integrates work and study, embedding authentic
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students per year across a number of UK institutions. The Skills and Training Hub will run online and face-to-face activities to facilitate cohort building and group learning exercises throughout the PhD
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Applications are invited for an employed Doctoral Candidate to be funded by the Marie-Skłodowska-Curie Learning Network for Decentralized critical Infrastructure Asset Monitoring and coNDition
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datasets across variable illumination, wave states and turbidity, enabling hybrid deep-learning and iterative optimisation solutions with clear lab-to-field transferability. Entry requirements: We
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understanding of the interactions between sweetness and flavour intensity in frozen desserts. The successful candidate will gain a multidisciplinary experience, learning aspects of sensory evaluation