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another relevant quantitative social science discipline, with strong skills in quantitative child poverty research. They will have excellent analytical and statistical skills, strong STATA skills, and
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materials such as anisotropic, hyperbolic, epsilon-near-zero, dispersive, lossy or active media. The successful candidate will develop analytical models and numerical tools, generate original research
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developing machine learning pipelines for imaging data. Excellent analytical, problem-solving and communication skills. The ability to work independently and collaboratively within a multidisciplinary research
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completing, a PhD/DPhil in Health Economics, Economics, Statistics, Epidemiology, Health Data Science, Mathematics, or another quantitative discipline, and will have experience in health economics, disease
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opportunity for a Post Doctoral Research Assistant. Your main duties and responsibilities will include: Carrying out literature searchers, study selection, data analysis, data extraction, quality appraisal, and
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excellent organisational and analytical skills, with the ability to independently manage your own research activities while contributing effectively within a team. Experience training and mentoring colleagues
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position combines sensor development, optical interrogation (e.g. OFDR), and data analytics, contributing to the creation of intelligent systems for structural health monitoring and digital twin applications
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research and unite our researchers around our Technology Innovation Challenges and Life Science Challenges. For more information on the Franklin’s Challenges click here . If you are a creative scientist who
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interdisciplinary research programme that will require expertise in stem cell culture, human tissue, bioengineering, computational analytical methods and islet transplantation. Applicants should have a recent Ph.D
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combining solar, wind, battery storage and next-generation digital and modelling tools. This exciting role would suit a researcher who thrives at the intersection of engineering, data science and industry