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developed goal-sequence generalization task. The project will integrate high-density silicon probe recordings, optogenetics, pharmacology and advanced computational tools to analyse neural algorithms
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identification of project objectives from assessment of the literature, design and analysis of experiments and drafting of papers. Desirable for grade 6/7: D1. Expertise in next generation DNA sequencing
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completion, of a relevant PhD and have experience analyzing high-throughput sequencing data. Excellent communication skills and the ability to present your work and contribute to publications is essential
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will be the analysis of virus sequence data generated through our surveillance activities. Surveillance will be based on next-generation sequencing of viral RNA/DNA extracted from wastewater samples. We
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fundamental research Alignment with our core values What we offer The MQO group is young but yet very ambitious research team exploring quantum phenomena in large scale and complex systems, from
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challenges in human genomics, applying them to large-scale genomic datasets encompassing millions of sequenced individuals and high-dimensional health-related data. The project will build on the group’s recent
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, an understanding of evolution of foundation models, and a good grounding in multimodal learning, including fusion and alignment. About the Institute The role will be based in the Digital Environment Research
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projects. Experience of working with multiple allied partners in research networks. Preferably, experience in research student supervision and grant writing. Apply Before: 14/07/2025, 23:59
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, an understanding of evolution of foundation models, and a good grounding in multimodal learning, including fusion and alignment. How to Apply Please submit an application via the Queen Mary Portal and upload a copy
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sequencing methods, ELISA. Being highly motivated, strong collaborative spirit, with excellent communication skills. Having demonstrated organisational skills, initiative and ability to work independently