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the successful candidate embarking on a PhD programme at LSHTM. It is anticipated that the role will lead to a further 18 month funded opportunity at Max Planck Institute for Demographic Research (MPIDR), in
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interdisciplinary research skills in statistical analysis, data visualisation, advanced programming, writing and oral presentation, and receive training to enhance transferable skills and employability. Person
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observations and modelling of the physics and biogeochemistry of Antarctic shelf seas. You will gain experience in computer coding, statistics for environmental science, working with and piloting autonomous
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interested in fungal ecology and evolution, with prior experience in programming and basic statistical skills. Entry Requirements At least UK equivalence Bachelors (Honours) 2:1. English Language requirement
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biology, plant sciences, and statistics. There is potential to explore fundamental molecular and horticultural techniques. Additionally, you will participate in both external and internal bioinformatic
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equivalence Bachelors (Honours) 2:1. English Language requirement (Faculty of Science equivalent: IELTS 6.5 overall, 6 in each category). Acceptable first degree: Mathematics Statistics Physics Economics
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exciting opportunity to lead innovative research at the interface of AI and clinical medicine, working within a 40-strong interdisciplinary team spanning AI, statistics, microbiology, epidemiology, public
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Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel
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consider the multiple health and other impacts when deciding on appropriate action. This PhD studentship will conduct an assessment of the impacts of policies aimed at improving home energy efficiency
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, dynamical systems and statistical physics. The candidate will be jointly supervised by the Coventry team Dr Fei He and the Stellenbosch team Prof. Francesco Petruccione . This project will contribute