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Field
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catalysis. Computational chemistry allows the design and discovery of new molecules and theoretical understanding. This is especially important when studying the behaviour of sensitive chemicals, like
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faster charging and extended cell lifetimes. Establishing a robust, non-destructive detection methodology will have direct implications for cell design, the definition of safe operating windows, and the
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understand how to leverage such information to design an AI-bestowed system that provides bespoke advice to the individual crop producing farmer about strategy and practice that will deliver a profitable and
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Breeding Ratio (TBR), which depends on several tightly coupled factors, including breeder blanket design, plasma-facing surface area, neutron transport, material composition, and cooling performance. Since
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of AI models for the design and optimisation of integrated energy systems in public buildings. They will analyse heterogeneous datasets, create realistic what-if scenario analyses, and develop trustworthy
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The Rosalind Franklin Institute (The Franklin) is the national institute for technology development for the life sciences in the UK – funded by the government through UK Research and Innovation
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demonstration of a DNA-based stack data structure and recent advances in optimisation for DNA nanotechnology, the project will design, model, implement, and experimentally validate novel molecular data structures
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consent, accessibility and human oversight will be central to the research design. Protected characteristics will not be used to determine candidate suitability; where demographic information is collected
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principles” is essential for rational materials design, but the underlying numerical simulations are computationally expensive, limiting studies to small systems and short timescales. This project will explore
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and predictive design framework for thin-film composite mixed-matrix membranes (TFC-MMMs). The primary objective is to design TFC-MMMs capable of efficient high-pressure gas separation for carbon