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interdisciplinary research with leading academic groups across neuroscience, physics, and computer science, contributing directly to the future of neuromorphic systems. Key Responsibilities: Differentiate, grow and
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Description of the offer : To further advance and refine novel techniques—such as x ray detected ferromagnetic resonance (XFMR) with polarized soft x rays in reflectivity and diffraction geometries—to investigate magnetization dynamics. The goal is to precisely resolve the static and layer...
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with quantum coherent electronic spins at room temperature. Now, we plan to transform the material system to platform for quantum technology, a coherent 2D spin-photon interface for networks and sensing
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computational sciences, decision-maker education campaigns, and training the next generations of technology governance leaders. It is one of the few organisations in the world to focus on the governance of AI
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from Theoretical Computer Science. The group is located jointly at the Faculty of Physics – as part of the Quantum Optics, Quantum Nanophysics, and Quantum Information Group – and at the Faculty
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and science exploitation of the MIGHTEE survey data. The postholder would have the opportunity to identify new discoveries in the data and would be ideally placed to lead the science based on the data
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A post-doctoral position funded by the Wellcome is available in the laboratory of Leon Lagnado to study the flow of information controlling visually-driven behaviour. Fluorescent reporters of neural activity will be used in conjunction with advanced imaging methods and behavioural assays to...
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contribute to cutting-edge research spanning fundamental T cell biology, cancer immunotherapy, and immune-based cancer prevention strategies. The postholder will investigate how cancer cells manipulate local
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. This role offers a rare opportunity to contribute to cancer interception science at the frontier of personalised prevention, with strong translational potential. We are seeking a talented and motivated
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rhizobia can fix up to 200 kg N per ha, as crops and for forage are potential ways to improve both N efficiency and the sustainability of agriculture. In this project we are engineering nif clusters