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ranging from preparation of protocols and applications for ethical and governance approval through to data collection, data analysis and contributing to peer-reviewed publications and presentations, while
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leveraged to accelerate learning from both classical and quantum data. The project will develop rigorous theoretical frameworks to understand key properties of quantum machine learning models—expressivity
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opportunities to build an international research portfolio. The post holder will work on developing and testing study design and data analysis methods, particularly related to cluster randomised trial designs and
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Infectious Disease Epidemiology & Dynamics department at LSHTM to work on polio eradication. This role utilises global surveillance data for polio to inform understanding of the status of eradication and
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university delivering economic, social and cultural benefits. For more information please visit: https://www.brunel.ac.uk/about/our-history/home Applications are invited for a Research Fellow in the area of
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part of the project, the Research Group will develop assessment tools that will inform the practice of Pathfinder workers and will be used to collect outcome data for the evaluation. At specific stages
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of gender, political communication and “everyday sexism” Analysing and interpreting research findings and results based on large scale media data sets Contributing to engagement with non-academic partners, co
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model fitting, including Bayesian model fitting, is desirable but not essential. Familiarity or experience of management and analysis of large multidimensional real world data sets using Stata, R, Python
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needed. The role will include responsibilities ranging from design, delivery and execution of the clinical trial, ensuring the safe conduct and collection of clinical data. The post provides an ideal
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supply chains. Understanding and experience collecting data and analysing (e.g., using statistical methods) agricultural and food economics data (e.g., production, processing, consumption), the interaction