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mechanics, quantum fluids, combinatorial optimisation or other closely related areas prior to their appointment and will have demonstrated a capacity to produce world-class research. Duties would include
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and diagnosis of common and rare diseases, using multi-omics and/or long read sequencing approaches. Responsibilities include optimizing data workflows, ensuring data quality, and supporting lead
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of large-scale high-throughput genomic data sets. Optimally, this will include genome-wide association studies, and/or exome or whole genome sequencing analyses. Alternatively, you will have experience in
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The Team The Technology Enhanced Learning (TEL) team manages and supports the optimal use of learning technologies across the Institute's diverse course portfolio, as well as having overall
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process, adapting the technology to meet industrial requirements. This will involve kinetic and mechanistic studies to optimize catalyst performance; scale-up, process intensification and adaptation
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