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frameworks and transformer architectures applied to biological sequences would be advantageous. You should have a PhD in bioinformatics, evolutionary biology, machine learning or similar. The post fixed term
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longitudinally collected sequencing datasets (both Illumina and Oxford Nanopore) of clinical isolates that can be linked to electronic healthcare record data and/or metagenomic data. These unique datasets provide
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. Knowledge Exchange and alignment with UoW’s Vision 2035 are desirable. Applicants should demonstrate an understanding of REF 2029, particularly CTTR’s strategy for Unit of Assessment 27, with a clear focus on
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. A research background into either 1980s British social and economic history or the conflict in Northern Ireland is desirable but not essential. This project is aligned to the University’s 2035 RKE
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for enterprise and applied research in non-destructive testing (NDT), remote sensing, and related technologies. The postholder will: Develop and support research activities aligned with the Centre’s priorities
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learning architectures including generative models, particularly for sequence or structural data (e.g. transformers, graph neural networks) Proved experience in working independently and as part of a
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longitudinally collected sequencing datasets (both Illumina and Oxford Nanopore) of clinical isolates that can be linked to electronic healthcare record data and/or metagenomic data. These unique datasets provide
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generate a new understanding of MoSS. These advances will have applications across multiple sectors, including pharmaceuticals, agrochemicals, and food industries. There are multiple opportunities
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. Hands-on experience in in vivo calcium imaging of neuronal activity in behaving mice. Proficiency in optical system design, alignment, and troubleshooting. Familiarity with animal behavioral experiment
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, characterisation and modelling to study and generate a new understanding of MoSS. These advances will have applications across multiple sectors, including pharmaceuticals, agrochemicals, and food industries