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Limited. The Knowledge Transfer Partnership project will focus on developing technically and commercially viable gas diffusion layers for high-volume applications using recycled carbon fibre, creating a
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Shionogi BV “Measuring cognitive outcomes in people with intellectual disability”, developing new play-based measures of executive functioning for children with intellectual disability. The research
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with SQL, high-performance computing, signal processing are highly desirable. This is a two-year training and development position suitable for you if you are looking to move into a new research
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Job Details Under the guidance of Dr Syed Haider, we are seeking to recruit a highly motivated researcher to apply and develop computational approaches for investigating genomic and transcriptomic
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Design and perform experiments Analyse and interpret research findings and results Contribute to generating funding Contribute to licensing or spin out deals with demonstrated commercial success (such as
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industry partners on research projects to reduce battery cost, weight, and volume; to improve performance and reliability (faraday.ac.uk ). The overall aim of the ReLiB project (https://relib.ac.uk/ ) is to
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Previous supervisory or managerial experience Previous experience working as part of a broad collaborative project Familiarity with cloud technologies (Docker, Kubernetes) Experience with high-performance
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familiarity with Deep Learning, including PyTorch would convey a significant advantage. They will have access to our in-house GPU-enabled High Performance Computing platform as well as national HPC resources
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selected candidates. This is a high-impact role with the potential to shape the future of rare disease research. Join us to push the boundaries of what’s possible in computational biology and personalised
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and disciplines and instead have an open approach that supports every researcher. This gives us the freedom to take risks and carry out high-quality, pioneering research. Creating a space for discovery