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Overview About the Role Applications are invited for a motivated and committed Machine Learning Engineer. The successful candidate will contribute to Queen Mary’s national reputation for research by planning
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equivalent level of professional qualifications and experience, with expertise in at least one of the areas: machine learning, applied topology, and/or probability theory. About the School The School has
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areas: machine learning, applied topology, and/or probability theory. About the School The School has an exceptionally strong research presence across the spectrum of Mathematical Sciences. It is part of
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effects T cell ageing. This position would particularly suit a researcher with an interest in the application of complex bioinformatic analysis and machine learning to create a model of metabolic T cell
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for Events, Conferences & Functions including table & chair arrangements; Distribution of any external signed-for mail & parcels; Assisting in the upkeep of all outside areas e.g. cloisters, car parks
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computing, AI, biomedical engineering or signal processing) or a higher degree (e.g. MSc) with substantial experience in multimodal machine learning with appropriate track record. Excellent programming skills
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PGT programmes. About You The successful candidate will have experience of using virtual learning environments, knowledge of learning technologies and skilled at working with computer-based record
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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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health is essential. Knowledge and application of machine learning, Chat GPT or other AI software would be desirable. Further particulars are included in the job description. The post is full-time 35 hours