399 programming-language-"St"-"Washington-University-in-St"-"St" PhD positions in United Kingdom
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An exciting opportunity has arisen for two Research Assistants (RAs) within the Institute of Mental Health. The RAs will be working on the ESRC/NIHR funded DETERMIND programme (www.determind.org.uk
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requirements for our PhD programme . Candidates should have a strong background and first degree in chemistry or pharmaceutical sciences or a closely related subject (BSc/MChem/MSc). Industrial experience
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requirements for our PhD programme . Candidates should have a strong background and first degree in chemistry or pharmaceutical sciences or a closely related subject (BSc/MChem/MSc). Industrial experience
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intellectually to other projects developed in the Laboratory. Excellent oral and written English. Funding This four-year studentship will cover University fees and an index-linked stipend starting at £22,113
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or carried out their main activity in the UK formore than 12 months in the 36 months before the recruitment date. Must hold a Master’s degree by the start date (September 2025). Good English proficiency
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to the launch of the Bloomberg Cambridge University Corporate Bond Index later in 2025 and the delivery of the ongoing research programme related to the index project. The successful candidate will undertake desk
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degree or higher) • UK home student status holder • Excellent oral and written communication skills in English • Strong problem-solving abilities • Interdisciplinary data science and energy interests
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Applications are invited to undertake a PhD programme, in partnership with Airbus, to address key challenges in ensuring adoption of sustainable approaches to fuel additives for aviation use
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Excellent oral and written communication skills in English Strong problem-solving abilities Interdisciplinary computer science interests Ability to work independently and in a collaborative environment
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
intelligent methods that integrate large language models (LLMs) and knowledge graphs to interpret technical documentation and structure complex engineering knowledge. The goal is to create digital twins