10 finite-element-analysis Fellowship positions at Queen's University Belfast in Ireland-University-Ranking-2024
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subject area relevant to the post and with a significant quantitative component - Have or be about to obtain* a relevant PhD in cognate subjects. - Significant administrative data research experience and skills
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College Cork to develop innovative modelling and analysis methods for complex infrastructure systems. The project will develop data-driven hybrid models that capture the interaction between physical
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of solvents and metal nanoparticles (MNPs). Such irradiation processes occur over a wide range of time and length scales and so we are developing a range of theoretical and computational approaches that bridge
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high-power laser plasma interaction and related areas. Demonstrate significant experience in experimental research using high-power lasers, Experience in using computer codes for data analysis
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adaptive cybersecurity solutions for shared social and economic systems. The successful researcher will apply expertise in programmable networking, network traffic analysis, and machine-learning
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of commencement of employment). Have proven experience with quantitative and qualitative research methods, including surveys, interviews, workshop design, and statistical techniques of data analysis. Have
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₃ emissions affect peatland ecosystems across the island. The successful candidate will lead research integrating remote sensing, fieldwork, laboratory analysis, and geospatial methods, including GIS and
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with associated analysis to support diagnosis and treatment of rare kidney diseases, and helping the team integrate diverse datasets. This cost-effective, carefully planned project will also provide
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are interested in adding a Research Fellow to our team with experience and skills in conducting surveys, data linkage, statistical analysis and report writing. The role of the Research Fellow will be to support
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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