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Contact City Nottingham Website http://www.nottingham.ac.uk/ Postal Code NG7 2RD STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger
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Design and deliver advanced undergraduate and postgraduate courses in areas such as mathematical statistics, machine learning, coding, and algorithmics. Play a pivotal role in programme accreditation
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ongoing, and you will need to use the code and tools that have already been developed by the team. These include the use of Tensorflow, PyTorch and Python. You will work with large imaging datasets commonly
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networks are applied genomics, fluorescent microscopy and proteomics for cell profiling. The project is already ongoing, and you will need to use the code and tools that have already been developed by
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, open code, open educational resources and practices that support replication. C5. Analysis and coding skills to analyse neuroimaging data. Desirable: D1. Deep theoretical understanding of memory and
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of offers available1Company/InstituteUniversity of NottinghamCountryUnited KingdomCityNottinghamGeofield Contact City Nottingham Website http://www.nottingham.ac.uk/ Postal Code NG7 2RD STATUS: EXPIRED X
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, coding, and algorithmics. Contribute to programme design, accreditation, and innovative teaching strategies that enhance student experience and employability. Research & Scholarship Lead independent
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at https://jmhutson.webspace.durham.ac.uk and a description of recent research achievements and current projects is available in a link from there. The successful applicants will work to understand
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https://www.cambridgetrust.org/scholarships/ Applications should be made online via the University of Cambridge Applicant Portal: (via the above ‘Apply’ button) stating course code EGEGR3 with Project
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Attributes Experience working with quantitative and textual data, writing computer code, and/or using existing Digital Humanities tools. The successful candidate will be supported to fill gaps in their Digital