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of Dr. Marios Kogias as part of his ERC Starting project titled CloudNG (https://cordis.europa.eu/project/id/101220079 ). The post will be based in the Department of Computing at Imperial College London
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that entrepreneurs face when they want to produce life-sustaining goods in a regenerative manner. Regenerative practices require business models supported by an organizational design structure that focus on restoring
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on scientific applications of AI (see https://www.anthropic.com/news/anthropic-partners-with-allen-institute-and-howard-hughes-medical-institute ). What you’ll do: Use AI coding agents to develop ad-hoc APIs
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factors and other topics. Neurophysiology and Computational Neuroscience: covers basic neurophysiology and synapses utilizing computational modeling of neurons to enforce concepts. Neuropharmacology: covers
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intelligent research training systems. The successful candidate will join a multidisciplinary team conducting applied research in simulation-based training, modeling, and opportunity-based training systems. Key
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for the fast adaptation of large vision-language agentic models, including supervised and reinforcement learning. The project team at HSP is responsible for all the phases of the research development and within
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Dr Helen Mulvana and an interdisciplinary team of experts based at the Universities of Nottingham and Cambridge. The successful candidate will contribute to the development of techniques for ultrasound
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at the interface of Fintech and AI, and in areas related to computational finance and financial engineering, for example: AI for finance, automated trading, agent-based modelling of financial systems, blockchain
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the role of extracellular vesicles (EVs) in disease pathogenesis and their potential as therapeutic agents and diagnostic tools. Using in vitro, ex vivo, and in vivo models, the lab studies EVs derived from
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. • Share concerns appropriately by avoiding direct confrontation in staff meetings: supporting in public, confronting in private. • Participate in RA selection and evaluation processes. • Role model