687 programming-language-"Washington-University-in-St" PhD positions in United Kingdom
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in their native languages. This conversational AI will gather crucial, yet often unrecorded, data on symptoms, lifestyle, and social determinants of health, converting unstructured dialogue
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, the project accelerates trait data acquisition by applying computer vision to herbarium specimens and field photos, as well as large language models to extract complementary information from literature and
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analysis and at least one programming language (e.g. R, Python, MATLAB); Interest in sustainability and evidence-based environmental research. Desirable Knowledge of ecological survey design and biodiversity
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competency. English language requirements: Applicants must meet the minimum English language requirements. Further details are available on the International website . Funding information: Studentship type
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research project dedicated to quantum machine learning for photonic platforms, bridging theoretical foundations with practical implementations. You will present your research plan to the faculty and complete
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– the Doctoral Landscape Award (DLA) and the Doctoral Focal Award (DFA) – as part of its Future Doctoral Programme. The new awards aim to provide more flexible, inclusive, and strategically aligned funding across
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score of 6.5 with at least 6.0 in each competency. English language requirements: Applicants must meet the minimum English language requirements. Further details are available on the International website
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to apply and if successful will receive a full studentship. Applicants whose first language is not English require an IELTS score of 6.5 overall with a minimum of 5.5 in all sub-skills. International
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PhD Studentship: LLM-Based Agentic AI: Foundations, Systems & Applications – PhD (University Funded)
Large language models (LLMs) can read and write text and code, call tools, and follow instructions. They now allow us to build agents that plan and act over many steps instead of giving a single
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improvements in machine learning (ML) applications now allow researchers without extensive programming backgrounds to implement advanced image-processing techniques using accessible programming languages and