170 programming-languages-"the"-"U"-"IDAEA-CSIC"-"FEMTO-ST" PhD positions in United Kingdom
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to determine what type of heat therapy protocols are well tolerated and can be well integrated into people’s life. Therefore, this programme of study aims to develop practical and feasible heat therapy protocols
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Hours Per Week 35 Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job related to staff position within a Research Infrastructure
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The School of Modern Languages and Cultures and the Institute of Medieval and Early Modern Studies (IMEMS) at Durham University invites applications for a PhD studentship through the Institute’s
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ranking university – in a relevant subject. EU and Overseas applicants should achieve an IELTS score of 6.5 with at least 6.0 in each competency. English language requirements: Applicants must meet the
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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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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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to gain, at least a 2:1 degree (or equivalent) in a relevant degree programme, e.g., Geography, Environmental Science, Computer Science, Engineering, or an appropriate Master’s degree. English language
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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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(or equivalent) with a UK Masters degree (with average programme mark of no less than 65%) or International equivalent. English Language requirement of IELTS band 7.0 or above with not less than 7.0 in each
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language model (LLM) technologies to create advanced, multimodal predictive tools for plant health monitoring. Using imagery from RGB cameras, drones, satellites, and multispectral and hyperspectral sensors