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and problem-solving Qualifications Research Assistant post ● Nearing completion or working towards a PhD in Electronic Engineering, Machine Learning with a hardware focus or related area. Candidates
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one of the following analysis techniques (multiple preferred): normative modelling, dimensionality reduction techniques, machine learning, deep-learning, state space modelling, advanced statistics
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team, you will apply cutting-edge machine learning and deep learning techniques to dramatically reduce testing cycles. You will lead life cycle analyses, implement advanced health monitoring strategies
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