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Requirements PhD/Master’s in Naval Architecture, Ocean Engineering, Civil Engineering, or related field. Proficiency in hydrodynamic modeling tools (e.g., WAMIT, ANSYS AQWA, OrcaFlex) and finite element analysis
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or competence in radiation detectors (design, construction, operations or data analysis) is a requirement. Documented general knowledge of the near-earth space environment or atmospheric or lightning physics is a
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molecular biology approaches, live cell imaging and the generation and analysis of multi-omics data sets. The successful candidate will be responsible for accurate and efficient data generation, data
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design and implementation, conducting research, analysing data and sharing learning from the project. As such, the Research Fellow should have mixed methods research experience, particularly in conducting
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, from literature review and study set-up through to data collection, analysis and dissemination. The role offers substantial hands-on experience of mixed-methods research on sensitive topics, within a
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contribute to the conduct and analysis of the process evaluation using established guidance, undertaking data collection and analysis and preparing outputs to inform interpretation of trial outcomes by
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molecular biology approaches, live cell imaging and the generation and analysis of multi-omics data sets. The successful candidate will be responsible for accurate and efficient data generation, data
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contribute to the conduct and analysis of the process evaluation using established guidance, undertaking data collection and analysis and preparing outputs to inform interpretation of trial outcomes by
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to investigate heat transfer and pressure loss, as well as analysis of experimental data and the use of these for model validation. Building or modifying flow loops with instrumentation arrangement may also be
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community of over 500 staff and more than 300 PhD students engaged in cutting-edge research and collaboration. Further information can be found on our website https://www.ucl.ac.uk/biosciences This is an