34 Environment "Anglia Ruskin University" research jobs in cambridge in United Kingdom
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Behavioural Neuroscience in an inclusive and supportive environment. Fixed-term: The funds for this post are available for 2 years in the first instance. Click the 'Apply' button below to register an account
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technology to develop hard or soft skills is required. Proven experience in digital product management or leading innovation projects in a technology-driven environment is also essential. For full details
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supported by excellent scientific facilities and by the LMB Operations Group which maintains the core infrastructure and services of the institute. The LMB provides an unsurpassed environment for both new and
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environment. This role will see the successful candidate working with Professor Orr to advance research in the field of construction and structural engineering. The post will focus on efforts to reduce whole
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the opportunity to contribute your own ideas to ongoing research activities. We are committed to providing an inclusive and supportive working environment that fosters intellectual curiosity and
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Biorxiv) in the field of plant biology. You should have a track record of science communication. The Laboratory provides a welcoming and collaborative environment with a wide-range of family-friendly
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environment. This role will see the successful candidate working with Professor Orr to advance research in the field of construction and structural engineering. The post will focus on efforts to reduce whole
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on the creation of Digital Twin environments that enable simulation based learning of navigation policies. Together with the project team, the RA will travel to client sites to scan workspaces with specialized
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environment of the Computational and Biological Learning group (https://www.cbl-cambridge.org/ ) The post will be in Central Cambridge, UK. The key responsibilities/duties: Ideating, designing and conducting
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, neuroimaging. The postdoc will be supervised by Dr Flavia Mancini and join the dynamic and multidisciplinary research environment of the Computational and Biological Learning group (https://www.cbl-cambridge.org