325 programming-language-"St"-"University-of-St"-"FEMTO-ST"-"St" PhD positions in United Kingdom
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Field
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This PhD programme of work, supported by HTC Health LTD in collaboration with Manchester Metropolitan University, aims to explore the multi-organ communication pathways of the gut, specifically
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Investigator in the delivery of research activities on preventing and combatting online and offline hate speech and related mis/disinformation by engaging law enforcement agencies and policymakers and by raising
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The project: The deployment of generative AI—particularly Large Language Models (LLMs) based on transformer architectures—in industrial settings poses several critical challenges. Ensuring reliable
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. You should be highly motivated, able to work independently as well as collaborate with others and have effective written/oral communication skills. Degree Disciplines: Applicants will have or be
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, e.g., an undergraduate or Masters research thesis/dissertation Excellent English written and verbal communication Demonstrable leadership and teamwork abilities Statistical experience (as acquired
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spoken communication skills The following skills are desirable but not essential: Demonstration of undertaking research projects Ability to program Previous experimental experience in fluid dynamics
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Postgraduate Research Admissions prior to making an application. The minimum English language entry requirement for research postgraduate research study is an IELTS of 6.0 overall with at least 5.5 in each
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to support Home students only. If your first language is not English you need an overall IELTS score of 6.5 (at least 5.5 in all sub-skills) or equivalent language qualification. How To Apply You must apply
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a minimum mark of 60% in the dissertation PLUS The potential to engage in innovative research and to complete the PhD within 3.5 years. A minimum of English language proficiency (IELTS academic
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health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured