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candidate will have strong analytical skills and substantial experience in machine learning at scale. The Prorok Lab in the Dept. of Computer Science & Technology, has a variety of robotic platforms (aerial
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, manipulate large datasets, visualise data and perform numerical and statistical analysis is a requirement. Experience in handling 'big data', machine learning and working in distributed teams, is useful
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development activities such as appropriate professional activities while in the role. This is an excellent opportunity for someone enthusiastic about learning new techniques, proactive in research and self
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter
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to demonstrate a keen interest in aspects of logistics and its role in the modern world. This studentship will cover University fees for applicant with 'home' fee status and a maintenance allowance of at least
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in Brain Injury (HRC) Fellowship Programme, which has been designed to support the research needs across its 5 themes: prevention & education, acute care & monitoring, restoration & rehabilitation
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Brain Injury (HRC) Fellowship Programme, which has been designed to support the research needs across its 5 themes: prevention & education, acute care & monitoring, restoration & rehabilitation
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other common conditions in pet dogs, then use comparative genomics to determine those genes also relevant to humans. Genes and variants responsible are studied in the molecular biology lab and by testing
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the formation rates or composition of a biominerals from known environmental conditions. This project aims to construct such a model. The ultimate goal is to create a general framework for predicting
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) in a relevant subject (Physics, Chemistry, Materials Science, Chemical Engineering), experimental track record and willingness to learn. Home rate fees are fully funded. Applicants from overseas will