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involves qualitative data collection with people living with brain tumours, their communication partners, speech and language therapists (SLTs), and other healthcare professionals. Stage 2 uses co-design
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infection. As part of this work, the postholder will also explore the contribution of the host microbiome to resistance emergence. (Research Associate) Applicants must have a PhD (or be working towards a PhD
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mutations. Working closely with the PI (Professor Peter Visscher), you will develop new research methodologies, conduct analyses on detailed and complex data, write articles for peer-reviewed journals and
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, as well as for their babies. You will work with large, complex datasets from national surveys and routinely collected health data to support impactful research. You will manage your own research
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& robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven methodologies for learning control policies with provable guarantees
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mortality using traditional and new forms of data, with a focus on developing and low-income countries. The successful applicant will spend 18 months at LSHTM and enrol in the PhD programme, with fees funded
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MEng degree (or equivalent) and a PhD in Maritime Engineering and Technology or pertinent disciplines (Res Assistant if no PhD), adequate knowledge of modelling marine engines operations with alternative
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interpretation of platform data, stakeholder feedback, and project outcomes; maintain records and databases; and draft progress reports, technical reports, and academic publications. Contribute to the design
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to translate social, behavioural, and legal insights on hate crime/speech and misinformation into practical requirements for digital tools and training frameworks. Collate, process and present research data in
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about ). About you You must have a social science background (MSc/PhD) and experience/interest in environmental sustainability research and interdisciplinary working. Good communication and organisation