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), electrophysiology (EEG), interventional (TMS, tDCS) and neurocomputational (machine learning, reinforcement learning) approaches to understand the network dynamics that support learning and brain plasticity
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searching for a postdoctoral Research Associate to join our Aliee Group. Our group develops AI-driven models to understand and interrogate biological complexity, with a focus on hypothesis generation
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to foster dialogue. You will also support a wide range of other activities to build the network and explore live policy issues. The CSaP network is extraordinary. While centred on the University of Cambridge
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development of networking activities. The successful candidate will possess or be close to completing a doctorate in an academic area relevant to the Mphil taught programme in Real Estate Finance. You will have
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to the IT Director, you will play a key strategic and operational leadership role in delivering the School's IT vision. You will lead a multidisciplinary team of IT professionals across systems, networks, AV
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relies on complex computational models to advance our understanding of the planet. ICCS brings together researchers in software engineering, artificial intelligence, data science, and high-performance
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. Travel in the UK to engage major donors and prospects. Work collaboratively across Cambridge's collegiate development network to maximise impact. Who we're looking for: We're seeking a confident, curious
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environment, with access to exceptional systems, data, and networks that support your success. Be part of something bigger, helping to shape the future of research, education, and global progress. Enjoy
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within a supportive and collaborative environment, with ample opportunity to learn and grow. You will be encouraged to develop your skills, expand your network, and contribute to a world-class team that is
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transfer of sick and vulnerable infants to the MRI scanner and offers only a single snapshot of brain structure. The limitation of conventional imaging is due to the complex relationship between brain