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the interfaces between active material, electrolyte and current collector must keep both adhesion and conduction at the low stack pressures of a real application. The project develops a micromechanical
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as a critical design metric. Key research objectives include: Mixed-precision algorithms: Designing and implementing mixed-precision formulations for key domain-specific kernels to leverage low
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bioenergy and the integration of renewable energy in the energy system Resource efficiency with a focus on energy efficiency, low emissions and recycling of nutrients and materials Digitalization for energy
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to 2 postdoctoral researchers on technology foresight for policy-driven low-carbon technologies. The postdoctoral position will focus on developing data-driven approaches for probabilistic modelling
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to 2 postdoctoral researchers on technology foresight for policy-driven low-carbon technologies. The postdoctoral position will focus on developing data-driven approaches for probabilistic modelling
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networks (NTN), in particular low Earth orbit (LEO) satellites and high altitude platform stattions (HAPS) are highly advantageous Knowledge in digital twinning is highly advantageous Knowledge in machine
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, the mechanical state of the wall, or a defined combination of both. The resolved model will also predict the conditions under which the wall fails, with direct relevance to controlled, low-energy cell disruption