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Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will focus on developing machine learning
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the following knowledge and/or experience are highly preferred: Computer Vision, Signal Processing, Machine Learning knowledge and/or; Experience Industry knowledge and/or; A track record of published
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The PhD candidate will gain intensive knowledge in innovative processing protocols for chemical sensing and to develop data acquisition system with the Machine Learning (ML) and/or Deep Learning (DL
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in implementing feasible blockchain-based solutions to support trustworthy machine learning. An opportunity for two talented students to undertake their PhDs on two projects that concentrate
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learning and/or natural language processing. Strong academic performance in computer science at undergraduate and masters level, with evidence of prior research experience in machine learning and/or natural
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and publications, will be key to your success in this role. You will also have: A PhD in computer science or closely related discipline; A record of high-quality algorithmic research in machine learning
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Organisation. The multidisciplinary school boasts active research groups in fields such as discrete mathematics, geometry, applied mathematics, fluid dynamics, and machine learning, and supports extensive
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the brain. This wouldn't be a typical machine learning PhD, as many aspects can only be examined on a philosophical and theoretical level. There may be scope to implement aspects in the ideas you develop
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: Artificial Intelligence Search and Recommendation Data Science, Machine Learning, and Big Data Analysis Distributed Computing Cybersecurity Human-Computer Interaction The SCT will fast-track digital innovation
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largely uses traditionally approaches when it comes to laboratory work and synthesis of materials, also here the advent of automation, robotics and machine learning is bringing tremendous change