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mathematics, statistics, or machine learning, or a closely related discipline • OR near to completion of a PhD • Expert knowledge of Bayesian computation and deep learning methods • Excellent
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based in the Department of Informatics within the Faculty of Natural, Mathematical & Engineering Sciences (NMES), an internationally recognised centre for research in robotics, artificial intelligence
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rigorous simulations and live demonstrations. This position is ideal for a researcher with a passion for solving complex problems at the intersection of wireless communications, edge computing, and machine
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both on your own and in collaboration with others, as appropriate. To plan and manage your research activity effectively and safely, with minimal input from the PI, share research resources in
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. Understanding of research communication and impact. Excellent analytical skills. Ability to plan and work independently, taking responsibility for work in a proactive and independent manner. Ability to work
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to work within established research programmes. Applicants will have good quantitative skills and knowledge of statistics including experience of statistical programming software (e.g. R or Stata
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the discipline to work within established research programmes. Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research
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to the development of research programmes and methodologies including online and in-person workshops and field work with teachers Ability to routinely communicate complex and conceptual ideas to those with limited
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The London School of Hygiene & Tropical Medicine (LSHTM) is one of the world’s leading public health universities. Our mission is to improve health and health equity in the UK and worldwide; working in partnership to achieve excellence in public and global health research, education and...
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clearly with stakeholders • Organisation and administrative skills • Competent using a range of computer-based and online applications • Able to organise own workload and work