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meetings across the EU, perform R&D in the field of machine learning for plant species classification and support the implementation of the project application development. About You Applicants must have a
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-funded project led by Dr. Jagmohan Chauhan in an exciting area of embedded machine learning. The post will be based at the University of Southampton. You will be working with Dr. Jagmohan Chauhan (PI), a
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About the Role Applications are invited for a post-doctoral research associate to lead on a Barts Charity funded project. The research involves application of machine learning methods to heart and
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relevant field such as NLP, Information Retrieval, Artificial Intelligence or Machine Learning and be able to demonstrate a strong track record of independent research and high-quality publications
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characteristics using hybrid machine learning approach. This project is in collaboration with Kyushu University, Japan under the supervision of Dr Amin Paykani at Queen Mary University of London to realise
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, theoretical and practical knowledge of computer programming, machine learning and an interest in synthetic chemistry. A3 A comprehensive and up-to-date knowledge of current issues and future directions within
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communication (written & verbal) skills Biomedical research experience Desirable criteria UpToDate knowledge of machine learning methods applied to clinical or omics data Experience in grant writing Experience in
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About the Role The overall objective of the project is to develop a reduced-order surrogate model for predicting the ammonia direct injection spray characteristics using hybrid machine learning
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apply Overview About the Role Applications are invited for a post-doctoral research associate to lead on a Barts Charity funded project. The research involves application of machine learning methods
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Electronics Machines and Control (PEMC) research group, University of Nottingham, UK. The successful candidate will support several research projects funded by EPSRC and Horizon Europe in characterisation