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Reporting to the Project Co-Lead, Professor Beth Greenhough, the post holder will be responsible for carrying out research contributing the social science dimensions of the three-year MRC funded
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to manage your own academic research and contribute intellectually to projects, as well as writing manuscripts and presenting research findings at scientific meetings. Application Process Applications
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also having responsibilities to plan and manage fieldtrip and equipment logistics. Alongside this project, the PDRA will have the opportunity to interact and develop collaborations with a wider range of
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atmosphere and main group chemistry. You will be expected to manage your own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects
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damage and immunity responses. The post-holder will be responsible for managing own academic research, adapting existing and developing new scientific techniques and experimental protocols. You will work
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
illnesses. The post holder will also co-supervise a PhD student who will be involved in the same project. This is a highly interdisciplinary project combining forest ecology, remote sensing, machine learning
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to less experienced members of the research group, including postdocs, research assistants, technicians, and PhD and project students. In this post you will manage your own academic research and
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including the ability to write for publication, present research proposals and results and represent the research group at meetings. Experience of independently managing a discrete area of a research project
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Reporting to Dr Natalie Kyneswood, the post holder will be based at the Centre for Socio-Legal Studies as a Postdoctoral Researcher during Phase II of the Wellcome funded project: ‘Care in
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We are seeking a full-time Postdoctoral Research Assistant to join a cross disciplinary research project to improve our understanding of colorectal cancer. Deep learning has revolutionised image