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play a leading role in the analysis of large and complex genetic and electronic health records datasets with a range of Statistical and Machine Learning approaches, whilst leading a broad range of
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and Time Frequency) iv. Machine learning v. Analysis of sleep elements (like spindles or Sos) Knowledge of in the contemporary literature relating to at least two of the above areas. Proven ability
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computer and IT skills, Kinetics, Oracle, Microsoft Word, Excel, emails, including use of internet and online calendar. Level 3 Food Safety and Level 2 Health and Safety. Desirable CriteriaExperience
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, with various start dates. If you have difficulty accessing a computer, please call 029 2087 6137. Benefits We offer a leading and rewarding staff benefits package: 32 days holiday per year plus 8 bank
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stakeholders in the School and Student Futures to recommend clear processes enabling the delivery of successful placement and experiential learning activities that meet learning outcomes and professional
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experience within 2 of the following research fields: Programming in Python or Matlab EEG analysis (ERPs and Time Frequency) Machine learning Sleep scoring or analysis of sleep elements (like spindles or Sos
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advanced computer modelling (in silico), through robot driven testing of implanted knees (in vitro), to 3-dimensional X-ray imaging of moving patients (in vivo) with Machine Learning driven analysis
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and those of our partner NHS Health Board/Trusts; support the University’s teaching, learning and research programmes; support the University’s “Our Future, Together” strategy. You will engage and
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vibrant campus, world-class research, and outstanding learning environment. The Estates team is integral to maintaining and enhancing the university’s infrastructure, ensuring an exceptional experience
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the benefits of work experience Undertake a variety of administrative duties to support the department Instruct and guide other employees across the University on work experience programmes Collaborate with