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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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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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certification based on proof of validity and reproducibility. The R&D questions concern : (For P1) "AI as a service" to enrich engineering: modelling of the changing, complex and uncertain environment
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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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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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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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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
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in collecting and organizing field data and secondary information. d) Experience and motivation in fieldwork with economic agents in the business sector. e) Experience in presenting papers (oral