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developing a novel platform to uncover the hidden dynamics of proteins in health and disease. Your Role As a postdoc on this project, you will be part of a dynamic team working at the intersection of protein
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-antigen triggers of regulatory T cells in the context of Multiple Sclerosis (MS). This position is part of a large multidisciplinary collaboration between the University of Oxford, University of Cambridge
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forefront of AI and ethics. The role focuses on innovative research into the ethical governance of Large Language Models (LLMs), as part of the prestigious Divirsibus Vis Plurima Solvo project. This is a 2
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observations and interpretation of such jets, and will become part of the international ‘X-KAT’ team using new data from the MeerKAT radio telescope to study these jets. They will furthermore become a core
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transcription factors contain long disordered regions, but an incomplete understanding of their roles impedes transcription factor and therapeutics design. You will describe roles quantitatively by biophysically
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effects. You will contribute to the numerical modelling part of the project, which will benefit from novel element level and centrifuge testing experimental results. You will set up and validate numerical
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Parks Road and is available as soon as possible. Application Process Applications for this vacancy are to be made online and you will be required to upload a supporting statement and CV as part of your
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sexual orientation. How to apply As part of your application you will be required to upload a CV and one page supporting statement, along with the name and contact details of two referees. The supporting
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Postdoctoral Research Assistant in Design for Behaviour Change: Circular Economy for Medical Devices
Innovate UK and is a 24-month fixed-term contract from 1 November 2025 with the possibility of an extension. The Research Assistant will join a consortium of industry and academic partners as part of
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will be required to upload a supporting statement and CV as part of your application. In your supporting statement (<2 pages), please explain how you meet each of the selection criteria found in the job