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Field
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conditions. The researcher will also work with team members within the consortium in generating necessary data required for developing a machine learning model for storm surge prediction. Key Responsibilities
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history, economics, economic geography) and normally, a higher degree relevant to research area or equivalent qualifications High level analytical capability Ability to communicate complex information
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interventions delivered in childhood on later youth violence and offending. The project involves secondary data analysis of two Randomised Controlled Trials of the Incredible Years parenting programme delivered
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annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based approaches, machine learning) where
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-related activities and research-related administration Person Specification PhD degree in Physics and/or Astrophysics, and experience with interpretation of astronomical data High level analytical
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the field of the project High level analytical capability Ability to communicate complex information clearly Willingness to work flexibly and out-of-hours when necessary, to fulfil the needs of the research
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the long-term effectiveness of parenting interventions delivered in childhood on later youth violence and offending. The project involves secondary data analysis of two Randomised Controlled Trials
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-depth characterisation and annotation of these metabolomes using multistage fragmentation (MSⁿ) data, incorporating novel computational methods and strategies (e.g. spectral matching, network-based
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of parenting interventions delivered in childhood on later youth violence and offending. The project involves secondary data analysis of two Randomised Controlled Trials of the Incredible Years parenting
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Collect research data via experiments carried out on the analysis and recycling of Li ion battery materials Supervise students on research related work and provide guidance to PhD students on the Li ion