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University Belfast and the network of project partners. The post is fixed-term for 36 months, starting 1st September 2025 (or as soon as possible thereafter). A key component of the post is to collect and
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interest in the role of rhythmic processes in cognition. The post is available for 12 months in the first instance with the possibility of further extension. About the role The postdoc researcher will work
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disease control. A key component relates to harnessing advanced mechanistic disease transmission models to improve prediction of clinical trial outcomes (e.g. doi: 10.1038/s41467-024-53065-z). Given
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for predicting progression and response to treatment in people with rheumatoid arthritis using available and newly generated transcriptomic and proteomic data. This post is an important component of the work
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responsible for the entire project from polymer synthesis, crystallisation-driven self-assembly, characterising data collection interpretation. Training will be provided in all of the component techniques but
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to the monitoring of student progress and welfare as part of the CDT core team. There is also an administrative component to the role, working closely with the Programme Manager in this respect, and the postholder
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of student progress and welfare as part of the CDT core team. There is also an administrative component to the role, working closely with the Programme Manager in this respect, and the postholder will serve
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of linear wave equations and boundary element techniques as well as their high-frequency approximations. Furthermore, the candidate will be expected to extend the existing code in order to apply the developed
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substantial element of spoken discourse analysis. You will also demonstrable competence at transcription using Jeffersonian conventions, sensitivity around working with data of this nature, and excellent spoken
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promotes excellent training and mentoring. The group currently comprises ten people – five postdocs, two PhD students, a clinical fellow, a master’s student and a senior laboratory research scientist