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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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optimise researcher experience. Alongside this, you will contribute to the Pearl AI: DependANT project, an AI-powered platform enabling oncologists to use tumour DNA/RNA sequencing data to identify targeted
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understanding of Just Transition and critical systems analysis. The role will also include working with the energy systems modelling teams to explore how the social analysis can align with systems modelling
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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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using mass spectrometry for global proteome/metabolome analysis and state-of-the-art Oxford Nanopore (ONT) sequencing. Any residual material will be used for pre-clinical development and multi-omics
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aim is to solve the sequence-to-function problem: how gene function and regulation is encoded in DNA sequences. Current lines of work include high-throughput determination of binding sites and binding
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and protect patients’ vision. The successful candidate will develop novel deep learning approaches to model longitudinal sequences of high dimensional OCT images, identifying biomarkers for conversion
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Strong organisational skills and the ability to manage multiple projects are required. You should have experience overseeing lab resources and aligning activities with strategic priorities. The role
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first postdoctoral research station, and its founding deeply aligns with the national strategic needs in promoting talent cultivation and innovation as well as that of UNNC. UNNC’s undergraduate programme
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station, and its founding deeply aligns with the national strategic needs in promoting talent cultivation and innovation as well as that of UNNC. UNNC’s undergraduate programme of Business Administration