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in Cambridge. The mission statement of the group is "developing statistical methods to use genetic variation to answer clinically important questions about disease aetiology and prevention". The three
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, as appropriate, to identify areas for research, develop new research methods and extend the research portfolio. To deal with problems that may affect the achievement of research objectives and
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future industrial laser chassis, utilising powder-bed laser fusion metal additive manufacturing (AM) and advanced laser-based manufacturing. The project is split into four areas: 1. Optical, mechanical
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understanding of the impact of food- and environment-related toxicants on human health. Innovative mass spectrometric methods are developed and applied to investigate exposure, metabolism, and toxicity. The lab
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quantum field theories, and the application of Hamiltonian methods to gauge theories, though you will also be encouraged to develop and pursue your own research directions. Applicants should have a PhD in
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. The position is associated with a project funded by the EURAMET - the metrology component of the European Union Horizon 2020 Programme. The post holder will be expected to display the initiative and creativity
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will compare the development of annelids and molluscs and combine single-cell transcriptomics with classic embryological approaches and state-of-the-art computational methods. The findings from
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methods, including Mendelian randomisation, to identify candidate mechanisms linking circadian misalignment and sleep disturbances with cardiometabolic disease. The successful applicant will join an
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-applicant team the PDRA will lead the day to day running of the project. The project includes four work packages: 1) policy review and workshops with key stakeholders; 2) in-depth mixed method case studies
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods