604 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "UNIV" Fellowship positions in United Kingdom
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failure to provide this information will mean that the application will not be considered. An answer to any of the criteria such as "Please see attached CV" will not be considered acceptable.
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in aeroacoustics, with a strong emphasis on data analysis and a deep understanding of aeroacoustics fundamentals. Demonstrate excellent communication skills, both written and verbal, as evidenced by
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analysing and interpreting modelling outputs and experimental data, supporting the generation of new funding opportunities, and contributing to licensing or spin‑out activities that demonstrate commercial
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capture data from these; establish new concepts, methods and tools; prepare and deliver publications; participate in the community programme of events; and undertake visits and placements at industry and
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relevant to industry demands while working on innovative projects within the university. The research team is seeking a Research Fellow or Research Engineer with strong expertise in Human-Computer
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of what data to analyse first, and whether to gather additional intelligence, potentially at the cost of delay or increased risk. Addressing this challenge is becoming increasingly urgent as both the scale
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biological inspiration to investigate self-reconfiguration, self-healing, self-repair/community repair, and design for SE for autonomous robotic systems. gathering experimental results and presenting data as
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omics techniques to bacterial isolates, or metagenomic samples from the clinic or environment. Able to perform downstream bioinformatics and data analysis (working with other post doc bioinformaticians
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Github • Using a range of computer systems to run fluid flow simulations and optimisation algorithms, including High Performance Computing architectures • Assist and mentor students and research group
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and responsibilities Conduct a comprehensive review and synthesis of existing air quality, health and economic data, applying quantitative and computational techniques where appropriate to ensure robust