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We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of
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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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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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: “To learn and to apply, for the benefit of mankind”. Ranked among the top 100 universities globally by well-known ranking organisations such as Quacquarelli Symonds (QS), Times Higher Education (THE) and U.S
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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
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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
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, and digital approaches using mutual learning, inclusive theory-development and creative methodologies (e.g. filmmaking, VR technologies) The successful candidate will support the Co-Investigator in co
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one of the following analysis techniques (multiple preferred): normative modelling, dimensionality reduction techniques, machine learning, deep-learning, state space modelling, advanced statistics
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of the largest Statistics departments in the world, with a thriving PhD programme and a long-established reputation for research activity of the highest quality, enhancing both the PhD student experience and the
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are seeking candidates with a PhD (or near completion) in a relevant field, or with substantial and demonstrable research skills (academic or professional) that reflect equivalent capability, to contribute