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computer science with specialisation in data science, machine learning or deep learning, or in Earth/Environmental Science with experience in applied data science, machine learning or deep learning. You also will
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to recruit a part-time Research Assistant for the project Music Production Style Transfer (ProStyle). The role is to investigate machine learning approaches by which a production style may be learnt from
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Bayesian networks, causal discovery/machine learning, Markov decision processes, decision theory, simulation Applicants are expected to broaden their knowledge in autonomous electromagnetic defence systems
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details and apply Overview About the Role Applications are invited for a Postdoctoral Research Associate with experience in machine and deep learning to work on a research project funded by the Precision
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details and apply Overview About the Role Applications are invited for a Postdoctoral Research Associate with experience in machine and deep learning to work on a research project funded by the Precision
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at the PDRA level must have a PhD in Computer Science or a related field. Candidates must have substantial knowledge in Deep/Machine Learning, Large Language Models (LLMs) Natural Language Processing and
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Science/Electronic Engineering (or equivalent). Applicants at the PDRA level must have a PhD in Computer Science or related field. Candidates must have substantial knowledge in Deep/Machine Learning, Audio and/or
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of machine learning to assist in the identification and extraction of data from relevant studies, and conducting evidence synthesis work (systematic review, meta-analysis, evidence and gap map, scoping review
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in data science, machine learning or deep learning, or in Earth/Environmental Science with experience in applied data science, machine learning or deep learning. You also will have a good track record
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public and global health research, education and translation of knowledge into policy and practice. We are seeking to appoint a Research Fellow to apply machine learning and artificial intelligence