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Council, will study the drivers of relapse in acute myeloid leukaemia (AML) with the goal of improving treatment options in this poor outcome cancer. You will perform and analyse next-generation sequencing
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the origin of seed gene networks”. This project aims to use reverse genetics, cross-species complementation and single cell next-generation sequencing approaches to investigate how the gene networks
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project “Fern seed found? Testing a new hypothesis for the origin of seed gene networks”. This project aims to use reverse genetics, cross-species complementation and single cell next-generation sequencing
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with sequencing bacteria in the laboratory. Key attributes of the successful applicant include: Experience with REDCap: setting up databases Experience of working in a healthcare setting, medical research
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capability Broad understanding of next generation sequencing (NGS) technologies and demonstration of proven experience in analysis of bulk and single cell transcriptomic data would be an advantage Ability
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with sequencing bacteria in the laboratory. Key attributes of the successful applicant include: Experience with REDCap: setting up databases Experience of working in a healthcare setting, medical research
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Multiple Long-Term Conditions (MLTCs). It has a particular focus on research that is highly relevant to disadvantaged communities who are most impacted by MLTCs. It is led by a multidisciplinary team of
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, the development and fine-tuning of vision foundation models, multiple instance learning, survival analysis, and interpretable model development. You will also lead efforts in building multimodal deep learning
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, the development and fine-tuning of vision foundation models, multiple instance learning, survival analysis, and interpretable model development. You will also lead efforts in building multimodal deep learning
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Interest We welcome applications from all disciplines aligned with one of the strategic research priorities below: Clean Technologies: Net zero innovation, sustainable energy, circular economy Life Sciences