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an excellent result. Teaching is a key element of the School’s activity and students at all levels benefit from the breadth of the School in that they can combine languages and pursue interests from a cross
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this project we will develop a novel experimental system that is complex yet tractable, enabling rich, coordinated multi-omics analysis coupled with computational modelling to deliver deep mechanistic insight
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machine learning, agent-based modelling and multi-criteria decision analysis. Excellent scientific writing, team work, organisational skills and communication skills with a range of stakeholders are
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delivery of activity. Producing business readiness gap analysis and business readiness planning. Supporting the analysis, management, and ensuing requirements documentation is up to date. Supporting
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fluorescence microscopy, polydimethylsiloxane microfluidics and image analysis, and that you have a substantial experience in running custom R codes and operating JMP software. What you will get in return
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. The successful candidate is expected to have experience in artificial intelligence and machine learning, big data processing, cardiac image analysis, data visualisation and statistical methods. Strong
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core member of the ADE group alongside Dr Brubacher, Dr Gill and Dr Hayes. Responsibilities will span diverse research tasks, including data collection and analysis, supporting grant applications, and
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advanced biostatistical techniques including multilevel logistic regression and survival analysis. Experience with cancer-related research and patient & public involvement (PPI) in health research is highly
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. The post holder will contribute to the analysis of genetic data from genotyping arrays and exome sequencing to help study key questions on clinical outcomes for patients with JIA. The candidate will lead the
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aims at two main outputs, which will be co-authored by the team (including the PDRA): one a bibliometric analysis of the outputs and the other a discourse analysis-based study of the discussions