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analyses) using data obtained from several sources. The aim is to expand the theoretical framework for predictive asset management in the railway sector including establishment of suitable algorithms and
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algorithms for fluid-structure interaction solvers What you will do Independently develop numerical methods and codes for fluid-structure interaction of wind-powered ships Carry out and analyse high-fidelity
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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refinement (TOPAS, GSAS-II, FullProf), ideally total scattering and pair distribution function analysis. Molecular conductors, radical and charge-transfer salts, or oxocarbon electrode chemistry. Synchrotron
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or communications venues. Interest in mission-critical and critical infrastructure scenarios. What you will do Develop models, algorithms and optimization methods for resilient 6G transport networks, using machine
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or communications venues. Interest in mission-critical and critical infrastructure scenarios. What you will do Develop models, algorithms and optimization methods for resilient 6G transport networks, using machine
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of computer scientists. Extent: 100% employment, distributed as 80% research and 20% departmental duties (typically teaching at the BSc or MSc level). The position is meritorious for future roles in
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, chemistry and physics to study lipid-based nanoparticles. We characterise the composition and distribution of molecules in synthetic and naturally occurring nanoparticles (including extracellular vesicles
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distributed renewable energy and battery storage, can improve system efficiency and resilience. Who we are looking for The following requirements are mandatory: A doctoral degree in one of the following