19 programming-language-"HT---Human-Technopole" PhD positions at University of Cambridge
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Applications are invited for a PhD studentship on the project EQUATE - a project that investigates how Natural Language Processing (NLP) could be made globally more equitable. This UKRI Frontier
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publications: TE Fjelde, K Xu, D Widmann, M Tarek, C Pfiffer, M Trapp, SD Axen, X Sun, M Hauru, P Yong, W Tebbutt, Z Ghahramani, H Ge (2025). Turing.jl: A general-purpose probabilistic programming language. ACM
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(essential), Modelling and resource analysis (essential), Use of Python, Matlab or other appropriate programming languages (essential), Familiarity with building and construction (desirable). Collaboration and
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located in Central Cambridge, Cambridgeshire, UK. The key research and scholarship responsibilities and duties of this role are: Plan and manage research activities. Support an investigation into carbon
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Applications are invited for two Research Assistant / Research Associate posts on the project EQUATE - a project that investigates how Natural Language Processing (NLP) could be made globally more
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processing (NLP), large language models (LLMs), machine learning (ML), and data visualization. The candidate will leverage their expertise in AI, statistics, and programming to design, develop, and evaluate
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history focused on the classical tradition. Additional requirements include a sound general knowledge of classical architectural history, proficiency in relevant languages, archival research experience
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position will contribute to the research programme of the recently founded "AI Hub in Generative Models", a research consortium funded by EPSRC. The goal of the programme is to do research in the area of
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engineering. Applicants are expected to have (or be close to obtaining) a PhD in information engineering, computer science, civil engineering or cognate discipline. They should also have good written and spoken communication
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about to obtain) a PhD in the broad area of Computational Modelling applied to geochemical or biological systems, and be comfortable working routinely in modern programming languages (e.g. Python, Julia