239 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" positions at University of Birmingham
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mentor if required Contribute to writing bids for research funding Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings
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reports, papers, briefings and analyse management information for a range of internal and external audiences. You will use your excellent organisational skills and attention to detail to ensure
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within area of specialism Contribute to publications Main Duties Collect research data; this may be through a variety of research methods, such as scientific experimentation, literature reviews, and
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responsibility is to test key assumptions about differential disease risk by integrating high-resolution socio-ecological, environmental, and novel health data from individual and population sources. This research
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multidimensional Inverse Synthetic Aperture (ISAR) Data- Aemelia”, funded by NSIP2/UKSA, maximize impact and pave way for the follow on projects on dual use technologies for SDA and space autonomy the position
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ensuring that appropriate information is disseminated to stakeholders as appropriate. You may be involved in organising events including booking a venue, sending invitations, arranging refreshments, liaising
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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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of literacy and numeracy, with the ability to write clearly, and to produce and analyse information and data. Strong negotiation skills and the ability to persuade and influence. The ability
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data-driven (AI/ML) approaches to analyse polymer physicochemical properties and degradation behaviour across different environments, with the aim of identifying key molecular-level design principles
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the Birmingham MC40 cyclotron facility. This experimental campaign and the new data/insights will allow you to validate structural integrity models of ASSs linking meso- and macro-scales. During this PhD project