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Topologically constrained physics-informed machine learning for modelling complex spin textures (S3.5-COM-Ellis) School of Computer Science PhD Research Project Competition Funded Students Worldwide
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Machine Learning-Guided Discovery and Experimental Validation of Novel Antimicrobials Against Pseudomonas aeruginosa (S3.5-MPS-Soukarieh) School of Mathematical and Physical Sciences PhD Research
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candidates in the area of Business Analytics, with particular interest in those applying machine learning and deep learning methods to business domains, such as HR analytics, marketing analytics, and
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University of Brighton | The City of Brighton and Hove, England | United Kingdom | about 16 hours ago
We are seeking a Programme Manager to lead partnership projects within the Sussex Learning Network (SLN), supporting learners, particularly those from underrepresented backgrounds, to progress
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from working closely with its team of post-docs, associated researchers and partners (that range from Microsoft Research to the NHS). For this project you should have a strong interest in AI/Machine
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enhancement, of a high-quality student learning experience. The post is fixed- term, until the 31st of July 2028 . The role is suitable for blended working. Please visit the LTDS web pages to find out more
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University of the Arts London, London College of Communication; | London, England | United Kingdom | about 2 months ago
The opportunity Join University of the Arts London (UAL) and play a vital role in shaping, supporting and coordinating Digital Learning activities within London College of Communication (LCC) and
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academic collaborators, you will contribute to cutting-edge research in artificial intelligence, multimodal learning, and machine translation. The role involves developing and fine-tuning large-scale
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Role Overview As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have opportunities to tackle real-world, industry-relevant
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in academia, industry and many related careers. Visit http://www.sheffield.ac.uk/sgs to learn more. Please apply for this project using this link: https://www.sheffield.ac.uk/postgraduate/phd/apply