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Field
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systematic reviews and meta-analyses, including Bayesian methods Clinical experience in rheumatology, including outpatient clinics Desirable Criteria: Higher degree (MD/PhD) in a relevant field Record of peer
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Bezares (numerical relativity), Dr Stephen Green (gravitational waves, data analysis including machine learning, black holes), Dr Laura Sberna (gravitational waves, black holes, and environmental effects
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or machine learning to complex data. The successful candidate will have (or be nearing completion of) a PhD in a relevant field such as polymer science, materials engineering, or mechanical engineering
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embedded AI systems. They will demonstrate a strong track record of high-quality research in machine learning/AI and/or embedded systems, evidenced by publications in leading conferences and journals
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implementing bioinformatics pipelines from raw data, applying a range of advanced statistical, machine learning, and artificial intelligence (AI) techniques to analyse 'omics and clinical data, and contributing
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implementing the Grade 11 module of ICCS, examining civic learning among older adolescents, particularly in vocational education pathways. You will engage in international comparative research, applying advanced
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holiday allowances, flexible working, pension scheme and relocation package (if applicable). Job category/type: Research Job reference: Q08905 Environment, Science and Economy Faculty. The post This new
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implementing bioinformatics pipelines from raw data, applying a range of advanced statistical, machine learning, and artificial intelligence (AI) techniques to analyse 'omics and clinical data, and contributing
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and machine-learning methods (AI/ML) to extract novel biological insights that drive our translational and fundamental research programmes. In addition to your research leadership, you will play a
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, Machines and Control (PEMC) Research Institute in the Faculty of Engineering. You will pursue a research plan in developing innovative modular power converter topologies and control for integrated motor