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, bioRxiv 2026, doi: 10.64898/2026.07.30.741759) for biological systems. You will lead a computational research project extending DMMSs from population-level to single-cell data, combining neural networks
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and gradient-based optimization methods in optimization of complex structures are significant. The knowledge of programming languages, numerical methods, material properties including their tribological
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quantum key distribution (QKD) protocols, networks and systems. Able to perform resource placement optimization in computer/communication networks. Proficient in technical writing and analytical skills
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the scale of the single gene to field evaluation to define a framework for rational optimization of plant-mycorrhizal symbioses for more efficient P use in agriculture. The modelling component will
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proteins for high quality alternative protein foods including through high moisture extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use
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-oriented validation experiments, and analyze the resulting data rigorously. Develop, implement, and optimize signal and image processing algorithms using appropriate programming environments and
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of Palliative Care within the Division of Primary Care, Palliative Care, and Preventive Medicine, is part of a consortium to deliver AI4HOPE (Artificial Intelligence-based Health, Optimism, Purpose, and Endurance
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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number 5362 Is the Job related to staff position within a Research Infrastructure? No Offer
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mechanisms within potential CO2 storage complexes. Consequently, optimal deployment of CCUS solutions relies upon a robust understanding of fault network architecture in the subsurface. This project will
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, planning and delivery of research activity. The role will involve theoretical and computational research, analysis and interpretation of experimental data and literature, and the production of high-quality