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on the selected fungal strain growth in response to varying carbon sources. The project will develop a software to automate data processing, machine learning model selection and optimisation and enable end-users
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of various Machine Learning use cases in the new hardware. You will also have the opportunity to mentor PhD and MSc students working in Professor Rajendran's group. This is a full time post, and you will be
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platforms will be designed, capable of efficiently exploring complex mixed variable design spaces on the microlitre scale. Our multisite reactor network will be driven by next generation machine learning
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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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therefore use primarily quantitative data with potential for deploying machine learning techniques in the analysis phase (e.g. using R analytics). The successful candidate will have a scholarly interest in
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electrical machines, drives and materials are required.? The PEMC research group has grown exponentially and now has over 200 members, 24 academics and circa 130 PhD students, researchers, and engineers
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the transition to global environmental sustainability. Reporting toLead, Machine Learning, Oxford Sustainable Finance Group To be a successful candidate will need to hold a relevant PhD/DPhil in information
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Deep Learning based Controllable Animation Department of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Zhixiang Chen, Prof Jungong Han Application Deadline: 14 June
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the transition to global environmental sustainability. Reporting to Lead, Machine Learning, Oxford Sustainable Finance Group To be a successful candidate will need to hold a relevant PhD/DPhil in information
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Machine Learning Digital Twins of Spintronic Neuromorphic Devices Department of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Matthew Ellis Application Deadline