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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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will receive training to support world-class analytical facilities, including mass spectrometry, NMR, thermal analysis and elemental analysis, while also developing skills in the University's specialist
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of the project are met. You will work as a Research Assistant at Queen’s Business School. The essential component of the post is to undertake economic and data analysis using statistical and econometric methods
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student support across five undergraduate modules spanning pharmaceutical sciences. The role also carries a research component, with the opportunity to contribute to an internationally collaborative
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elements in bacteria. The post holder will take a leading role in large-scale bacterial genome data acquisition, quality control, annotation, and network-based comparative genomic analysis. These activities
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the following essential criteria: Successful completion, by the date of appointment, of a degree with a significant computing component at 2.1 classification or higher. Demonstrable knowledge of using low-code
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relevant discipline A PhD in a relevant discipline and with a substantial component of quantitative administrative data research. Specific, recent post-doctoral research experience and skills relevant
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a relevant discipline and with a substantial component of quantitative data research. Specific, recent post-doctoral research experience and skills relevant to the work of ADRC NI (e.g. population
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The post-holder will provide specialist statistical expertise and leadership to support the design, conduct, analysis, and reporting of clinical research studies within iREACH Health. The role will
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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