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individually, make a real difference. The role We are seeking qualified applicants for a position as Language Data Scientist on the ERC Synergy grant ‘NILOMORPH: The evolution of suprasegmental morphology in
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support oncology staff to engage with, communicate and act on mainstreaming genomic testing information. This review will lead to evidence based recommendations and targeted outputs which may generate
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, with a particular focus on marginalised groups. The post-holder will be based at Surrey (under the supervision of Professor Katriina Whitaker and Dr Rob Kerrison) and will join a wider team of academics
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extractions). The candidate ideally should be familiar with live tissue slicing and working with hIPSC cultures. Additionally, a major component of this post will also involve data analysis and interpretation
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real-time, and will be tested and demonstrated on a state-of-the-art HiL rig and an autonomous test vehicle. The post is focused on the development of automotive-grade algorithms and estimators that will
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jointly at Surrey and Imperial. Our research includes security verification, protocol design and analysis, distributed and network systems, concurrency, data privacy, privacy preserving security, and