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EPSRC PhD Studentship in: Big Data, Network Complexity and Machine Learning to Deliver Targeted Pro-active DWDS Maintenance
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education courses at the postgraduate level. They will support the planning, organisation and delivery of teaching at the Defence Studies Department. Successful applicants will teach and supervise students
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, organisation and delivery of teaching at the Defence Studies Department. Successful applicants will teach and supervise students who are serving officers or civil servants in the UK and allied armed forces
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, organisation and delivery of teaching at the Defence Studies Department. Successful applicants will teach and supervise students who are serving officers or civil servants in the UK and allied armed forces
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in Shrivenham, will undertake high-quality research and support a range of professional military education courses at the postgraduate level. Successful applicants will teach and supervise students
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candidate who can lead teaching and practice around core modules such as software development, full stack web development, game development, cyber security, and machine learning. The successful candidate will
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military education courses at the postgraduate level. Successful applicants will teach and supervise students who are serving officers or civil servants in the UK and allied armed forces. There are also
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Computer Science or near completion. Higher language computer programming (python) General machine learning experience (vision, structured data, NLP) Machine learning libraries (SciKit Learn, pytorch,…) Scientific
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Electronics, Machines and Drives Research Group (PEMC) at the University of Nottingham. The PEMC research group has grown exponentially and now has over 200 members, 24 academics and circa 130 PhD students
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analysing high-throughput genomic data, particularly WGS and GWAS datasets. Desirable criteria UpToDate knowledge of machine learning methods applied to clinical or omics data Research experience in