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provision fully supports the Department's ambitious research and teaching strategies. You will drive a culture of safety, professional development and continuous improvement, champion technical staff
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PhD Studentship: Building Brain Circuits: decoding RNA processing in the developing mammalian cortex
The mammalian cerebral cortex contains a wide diversity of neuronal cell types that form highly specific connections during postnatal development to support complex behaviour. A major emerging
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for Artificial Intelligence, and the Digital Futures Institute. The PDRA will also have access to research and career development from King’s Centre for Research Staff Development. The postholder will work closely
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, provide one-to-one and group tutorials, offer constructive feedback, participate in assessment, and support students’ academic and pastoral development. You will also contribute, as appropriate to your
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ambitious projects involving projection mapping and lighting design, XR, 3D scanning, interactive installations, and creative applications of code. You will also contribute to the development and maintenance
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highly discrete, maintaining a high level of confidentiality. You will have a commitment to undertaking professional development and a desire to develop in the role. You will have a degree, professional
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identified parts of a large project. This position offers the opportunity to contribute to cutting-edge research and development in AI for creative industries. Key responsibilities include: Supporting AI4ME R
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estate as an integrated platform for education, research, innovation, community engagement, and operational excellence. Working in close partnership with IT, Strategic Development & Delivery, Finance
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learning and working environment. ABOUT THE ROLE This role offers an exciting opportunity to contribute to the delivery and development of teaching across Finance, Financial Technology and Trading at both
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fees will be paid. We expect the stipend to increase each year. The start date is October 2026. This fully funded PhD project will merge the latest tools from experimental directed evolution with