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Field
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degree qualified apprentices or those seeking to move sector from another cognate industry, or indeed remain employed whilst pursuing their PhDs; Based at Swansea University’s new state-of-the-art
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-based agents with tool use, workflow automation, or integration with databases and data pipelines. Motivation to apply AI in a laboratory setting and willingness to learn hands-on materials synthesis and
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pharmaceutical company, we propose the synthesis of N-acetylglucosamine analogues as therapeutic agents. Scientific results have led to the identification of an N-acetyl-glucosamine-based “hit” compound as an
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 2 months ago
protecting client data, together with practical guidelines and tools for developers and organisations deploying agentic AI systems. Conduct original research on privacy and security for LLM-based and multi
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AMD using omics data generated within the consortium. The models will then be integrated into an agent-based multi-scale model (ABM) to create a digital twin of the retina affected by AMD, simulating
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Cognitive architectures for self-reflective, self-improving AI Data-driven agents for reasoning, forecasting, and knowledge integration Safe, transparent, and privacy-preserving agent-based AI Eligibility and
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prestigious Future Network Services (FNS) flagship project, where research and entrepreneurial pursuits converge. Future 6G infrastructures will involve multiple specialized AI agents that manage radio
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for epidemiologically relevant transboundary animal-disease agents and other animal pathogens with long-read shotgun metagenomics, culture and viability approaches, and sequencing of selected isolates. Comparative
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prestigious Future Network Services (FNS) flagship project, where research and entrepreneurial pursuits converge. Future 6G infrastructures will involve multiple specialized AI agents that manage radio
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as part of a team translating psychological constructs into mathematical/dynamical rules driving comprehensive agent-based models incorporating disease transmission, behaviour and feedback loops