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PhD studentship: Improving reliability of medical processes using system modelling and Artificial Intelligence techniques Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience
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an exciting opportunity to join a leading research group within a Russell Group university, working at the forefront of artificial intelligence research with real-world impact. The studentship covers
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their potential to produce a new generation of ultra-high performance artificial intelligent devices that has ignited researchers’ interest in these remarkable devices. The aim of this position is to
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objectives, alongside developing proposals for both individual and the research team project (Artificial Intelligence applications in banking system), utilizing established methodologies and techniques
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the relevant subject area. Candidates should have: A PhD degree in following areas Business Analytics Artificial Intelligence Information Systems Marketing Other emerging or interdisciplinary fields relevant
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We are looking for a motivated research fellow for an exciting MRC-JPIAMR funded project, titled FightAMR: Novel global One Health surveillance approach to fight AMR using Artificial Intelligence
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Dr Sendy Phang. The student can gain experience and skills in a range of topics, such as Artificial Intelligence and Deep Learning, nanofabrication, computational modelling, metamaterial design, and
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Intelligence, Artificial Intelligence / NLP, Management Science & Engineering; Excellent oral and written communication skills in English, including the ability to communicate with clarity on complex information
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. Ying Weng is Course Director for Computer Science with Artificial Intelligence, Professor in Computer Science. She obtained PhD in Signal & Information Processing at Chinese Academy of Sciences, and
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opportunities for collaboration. About You The candidate must have obtained a PhD degree within 3 years and in the areas of Applied Psychology, Management, Statistics, Artificial Intelligence; Excellent oral and