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the ability to develop novel theory. They must also have strong development skills, to enable them to lead the process of prototyping new interactive systems with sensors, build machine learning
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of antiviral host-mechanisms and comparative virology datasets, including those derived from transcriptomics experiments. The role will also involve the application of machine learning approaches to virus
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of innovative particle identification and noise filtering algorithms based on Machine Learning techniques to improve the detection of muons in a variety of particle detector systems. 3. Lead the development
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, Recommender Systems, Machine Learning or Artificial Intelligence (applied to text or financial data) A3 A comprehensive and up-to-date knowledge of the wider subject area or subject specialism in Information
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, physical layer design, machine learning, and their applications to wireless communications. The successful candidate will also contribute to the formulation and submission of high-quality research
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AI Research Specialist Research Track COLLEGE OF MVLS GRADE 7 Background Job Purpose To develop, test, and implement AI/Machine Learning models for the analysis of real-world healthcare applications
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Computing, Software Engineering, Computer Programming or Engineering programming. B2 Understanding of Trusted Research Environments. B3 Knowledge of developing parallel software for high performance
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staff students and visitors; and carry out checks of University buildings and external car parking areas in order to prevent the risk of fire, flooding, accident and intrusion. Respond to Safe Zone alarm
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supervision and development/mentorship/coaching of early career academic colleagues in subject area/team. Experience Essential: E1. A track record of integrating machine learning and/or computational biology
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. Experience of scientific writing. E4. Experience in analysing NGS data. E5. Experience in statistical programming (e.g. R or related software, or machine learning applications). E6. Proven ability to deliver