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About the Role The position is funded through the EPSRC project “Zeros, Algorithms, and Correlation for graph polynomials”. We study various combinatorially defined polynomials such as the
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by a Natural Environment Research Council Pushing the Frontiers of Environmental Research grant led by Alex Twyford, to investigate the evolutionary consequences of horizontal gene transfer between
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algorithms for entanglement distribution in quantum networks. The purpose of the role is to contribute to the project "Utility Optimization in Quantum Networks: Algorithm Design and Analysis", working with Dr
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algorithms for entanglement distribution in quantum networks. The purpose of the role is to contribute to the project “Utility Optimization in Quantum Networks: Algorithm Design and Analysis”, working with Dr
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demonstrable research experience in the analysis of genomic and methylation data. Experience analyzing transcriptomic data and an interest in evolutionary biology and conservation are highly desirable
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and Evolutionary Botany. Research in our group focuses on how genome-level processes (e.g. gene duplication, horizontal gene transfer, introgression) and natural selection have shaped the morphological
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efficient exploration of this multidimensional space. Working with the colleagues at the University of Liverpool, you will also help develop process¿optimisation algorithms toward autonomous operation and
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efficient exploration of this multidimensional space. Working with the colleagues at the University of Liverpool, you will also help develop process‑optimisation algorithms toward autonomous operation and
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using radiomic imaging algorithm in Hypoxic Ischaemic Encephalopathy). The Sophie project aims to develop a Neonatal MRI Biomarker for newborns with Hypoxic Ischaemic encephalopathy that is predictive
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to cyber security, including but not limited to embedded/hardware security, security of AI systems, (post-quantum) cryptography, quantum algorithms, confidential computing/trusted execution