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research fields: Data Intensive Science Software Engineering Machine Learning Human-centred computing Visual computing Cybersecurity and privacy Knowledge of current status of research in specialist field
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bioinformatics, machine learning, software development and lab-based R&D. • Contribute to platform design and development by processing and interpreting high-throughput NGS data generated by our lab R&D team
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within work 9. Proven ability to work without close supervision Desirable CriteriaExperience of application of multi-‘omics’ technologies, biostatistics, big data and integrating Machine Learning/AI
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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, to deliver a
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and teamworking within work. Desirable CriteriaExperience of: Programming in Python or Matlab Machine learning Analysis of sleep graphoelements (spindles and slow oscillations) Proven ability to work
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research sections: Artificial Intelligence & Data Analytics including Data Analytics and Machine Learning, Explainable AI, Knowledge Representation and Reasoning, Learning & Reasoning and Natural