492 web-programmer-developer-"https:"-"https:"-"https:"-"https:"-"UCL" PhD positions in United Kingdom
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to protection, land use change, management weather and, on longer-term scales, climate. Opportunities for developing bespoke field monitoring, international collaborations, tagging and movement studies can be
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). This studentship will include a placement at Astra Zeneca, Cambridge and is part of a broader Medical Research Council Programme grant focused to understand mucus regulation in severe asthma. The project will
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Location: West Cambridge A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on compressor aerodynamics. You would develop key technologies and designs
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, this will enable a design-led approach to develop catalytic processes for dimetallocenes, such as alkyne hydroamination. Applicants should have, or expect to achieve, at least a 2.1 honours degree or a
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to leverage molecular dynamics simulation develop methods to determine the partitioning with relevant surfactant systems. The project will further be extended to studying the interaction of different additives
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recommend that you apply early as the advert may be removed before the deadline. This fully funded PhD position, offers an exciting opportunity to develop and optimize multiscale models for surfactant
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cell failure and its implications for system-level battery design. By creating a new scientifically robust framework to assess and mitigate thermal runaway, this PhD project will develop a unique
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expertise guides model development, improving accuracy and trust. Ethical considerations, including data privacy and collaboration with hospital ethics boards, are central to the project. Ultimately
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. The project will link closely with the recently funded £7.4 million HEARTH programme, the National Research Hub on Net Zero, Health and Extreme Heat. The studentship requires you to undertake the equivalent
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accessible AI. Project aims and objectives The aim of this PhD project is to develop principled and efficient methods for multimodal learning under resource constraints. The research seeks to understand how