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of research methods and processes (ideally in the field of cancer and trials). High level analytical capability. Ability to communicate complex information clearly. Ability to assess resource requirements and
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be able to demonstrate the following skills: High level analytical capability. Ability to communicate complex information clearly, both in writing and verbally, to audiences with a scientific or more
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comprise both the development of bioinformatics pipelines and the application of novel machine learning methods for interpreting microbiome and host ‘omics data from faecal, intestinal biopsy and saliva
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responsible for the entire project from polymer synthesis, crystallisation-driven self-assembly, characterising data collection interpretation. Training will be provided in all of the component techniques but
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thinking and brainstorming activities; meet deadlines and work within interdisciplinary teams of researchers and academics. You will have: Proven experience in core tools of data science and analytics
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, Mechanical Engineering, Chemical Engineering (*must be obtained within 3 months of commencement of employment). Have substantial recent experience of solid-state analytical techniques including thermal
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manufacturers, data analytics and space-enabled services. This role is connected to this through the University of Strathclyde Space Cluster and the wider West of Scotland Space Cluster, which brings together
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imagingGood organisational skills and attention to detail Experience in data analytics, statistical analysis and in programming (such as MatLab, R, Python) Ability to write papers for high quality peer-reviewed
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, neutrino experiments, accelerator R&D and data intensive science via our Centre for Doctoral Training. About the role The UCL High Energy Physics Group has an immediate opening for an outstanding PhD
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alongside Facilitator UK Delivery Leads Professor Karen Watchman and Dr Kathryn Mackay. The role holder will report to Professor Karen Watchman. Information about the Facilitator, and other, IMPACT models can