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including a flexible and pragmatic approach. Desirable: D1. Skills in RNA sequencing analysis, single-cell and spatial transcriptomics D2. Skills with bioinformatic analyses. For Appointments at Grade 7
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aligned with the objectives of the IDEAS PRTP (104755-atu-research-office-brochure-ideas-faa.pdf ). Catalysing Research and Innovation for Regional Prosperity: RISE@ATU ATU’s transformative and ambitious TU
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analyses of circuit development, and cutting-edge direct RNA sequencing. The successful applicant will work closely with the group leader and other team members, including a research assistant and a PhD
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techniques for example multi-parameter flow cytometry, cell culture, systems serology, ELISpot and ELISA. You should have some knowledge of single-cell RNA sequencing (RNAseq) and other relevant next
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for example multi-parameter flow cytometry, cell culture, systems serology, ELISpot and ELISA. You should have some knowledge of single-cell RNA sequencing (RNAseq) and other relevant next generation sequencing
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sequencing, spatial and single-cell multi-omics. This research could deepen the fundamental knowledge and promote translational/preclinical development. You must have a proactive and adaptable approach to work
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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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specifically prepared for this role, explaining how your background and expertise align with the position. Copy of your degree certificates and a transcript of studies. Applications will be reviewed on a rolling
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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