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networks. A key part of this role is related to developing research independence; there are opportunities to receive training and development in key technical skills (e.g., experimental and computational
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forms part of a large multi-institution collaborative project entitled Next Generation Electrodes (Nextrode) funded by the UK’s Faraday Institution. The appointed person will collaborate with other
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
, and socio-environmental modelling. Applications for this vacancy should be made online, and you will be required to upload a CV and supporting statement as part of your application, explaining your
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will not be possible to undertake this position fully remotely. We welcome applications from those wishing to work part-time. The MRC Biostatistics Unit is situated on the Cambridge Biomedical Campus
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regarded. Dissemination of findings through publication is an essential aspect of these positions. The selected candidate will collaborate as part of a cohesive unit to: Design, develop, and experimentally
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part of a wider programme of work to establish that membraneless organelles, biological liquid droplets, are effectively regions of organic solvent, suspended inside cells and that the properties of each
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, calcium imaging, optogenetics and/or behavioural methods. The project is part of a broader research programme designed to use cross-species research to uncover mechanisms for memory in both health and
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insights into the disrupted biological processes underlying cancer. This project is initially funded until March 2027 and is part of a collaborative initiative supported by the Oxford Cancer Centre
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the benefits of diversity throughout our staff and students. Durham University Provides a range of benefits including pension, flexible and/or part time working hours, shared parental leave policy and childcare
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. The post holder will work as a part of an interdisciplinary team including experimental neuroscientists studying learning in brain networks in Oxford, as well as other theoretical neuroscientists modelling