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the context of algorithmic problems related to constraint satisfaction and graph homomorphism and isomorphism problems. It brings to bear significant new mathematical (algebraic and topological) methods
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source tools for distributed biomanufacturing of enzymes and antibodies at low-cost using benchtop microbial and plant systems. The overall goals of OpenBioMAPS are to work with UK biomanufacturing
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to reconstruct the tree-of-life on Earth, it allows us to reveal how biological function has evolved and is distributed on this tree, and it is the foundation that enables us to use model organisms
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-or-leave decisions, but how we make them is not well understood. The goal of this project is to find out if there is common decision algorithm for leaving across species and what that algorithm is. You will
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, estimation, and identification algorithms that directly interface with physical hardware. We work closely with industry partners. Our research has led to several methods now used in commercial products. We
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opportunity for a researcher with a strong background in FPGA-based cryptographic implementations. The successful candidate will contribute to cutting-edge research on quantum-safe cryptographic algorithms
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development of future proposals for funding, into AI for renewable energy. You will consider ways in which the integration of machine learning algorithms might support the wider integration of, and uptake
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. You will focus on developing microwave techniques and associated electronics to precisely control the curing process, using AI-based algorithms to optimise outcomes. Full support will be provided
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analysis algorithms for the observation and interpretation of existing and new spectroscopic data of exoplanet atmospheres. Experience on cloud/haze microphysics modelling and large scale simulations is
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small highly motivated inter-disciplinary team working towards a shared goal. You will be responsible for the design and testing of original machine-learning based algorithms and models for multi-modal