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: Reviewing existing quantum algorithms relevant to fluid dynamics and atmospheric modeling. Evaluating their compatibility with the structure and requirements of current NWP models. Identifying potential
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lysine 119 mono-ubiquitination (H2AK119ub1) is a repressive histone modification that is catalysed by the PRC1 complex and erased by the PR-DUB complex. Variants in critical subunits of each complex
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NLRP3 activation and innate immunity in patients with DDX3X mutations, something that is difficult to ascertain from clinical data due to the complex mutational landscape and the rarity of the condition
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on predictive performance, the research will investigate methods to balance model accuracy and computational complexity, enabling the development of more sustainable modelling approaches. The project combines
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. The research directly relevant to the position sits within the group's wider work on higher-order Laplacian renormalisation, higher-order connectomics, and topological representations of complex systems. Prof
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for complex geological properties. Collection of geochemical and petrological reference data to train models is an equally important component of this task. The post will involve spectral, petrophysical, and
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Post Doctoral Researcher / Senior Post Doctoral Researcher - School of Biochemistry and Cell Biology
requires utilizing Python and R to process complex RNA-seq datasets, including differential gene/isoform expression and isoform switching. The researcher will also engage in cancer genomics workflows
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written and oral communication skills in English, with a demonstrated ability to communicate complex mathematical and machine learning concepts to technical and non-technical audiences. *A demonstrated
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to the research agenda of the SHIELD project. SHIELD investigates advanced methods for improving the awareness, reliability, and responsiveness of future connected systems operating in complex urban environments
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the awareness, reliability, and responsiveness of future connected systems operating in complex urban environments. The project explores novel communication, sensing, and data-driven techniques to support safer