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that release huge amounts of CO2. SusMet focuses on the exploration of carbon-free sustainable metallurgy, employing hydrogen as reducing agent, direct electroreduction (electrolysis), and plasma synthesis
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. Specific projects seeking applications are: Accelerating the discovery of inorganic solar-cell materials via a closed-loop, fully robotic synthesis–characterisation platform driven by multi-agent machine
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steppingstone towards projects that are investable on commercial terms. One important element in that process is the management and sharing of risk among agents in the CCS value chains like CO2, suppliers
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crosslinking agents. This initiative combines the expertise of a leading global battery R&D organisation and a specialist in polymer chemistry to develop GPEs with superior ionic conductivity and interfacial
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computing. The lab will be exploring the notion of "deceptive by design" on all fronts: social identity cues in the design of LLM-based chatbots or social robots; trust and reliance on conversational agents
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to characterize network-wide interventions, like reallocating road space or travel demand management schemes. Second, to develop an MFD-based traffic simulation linked to the agent-based simulation environment
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system to deliver a highly potent anti-cancer agent directly to the tumour. The project would be ideally suited for someone with a strong chemistry background and an interest and expertise in organic and
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to the following: Develop a comprehensive understanding of the oxidation kinetics and mechanisms using different oxidising agents. • Develop a comprehensive understanding of the leaching kinetics and
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biotechnology solutions based on scientific breakthroughs. www.SweTree.com Spray-induced gene silencing for control of damage agents SIGS (spray-induced gene silencing) is a promising biologically-based
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/ Robust) Combinatorial Optimization, Game Theory, and Network Theory, as well as Artificial Intelligence. Potentially, scenarios could be simulated using agent-based, discrete-event, or other techniques