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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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. This is an excellent opportunity to contribute to a dynamic and collaborative research environment, supporting a wide range of exciting research activities in genomics and data analysis. Key
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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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administrative role. This is a very demanding role, with varied and complex tasks. The role requires someone with excellent verbal and written communication skills who is used to handling confidential information
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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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. They will be responsible for conducting literature reviews, obtaining governance approvals, developing, testing and validating surveys, collecting and analysing (quantitative and qualitative) data, working
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-quality data resources that enable substantial advances in the development of technologies and science relating to sound and hearing, and foster a mindset that encompasses inclusion, rigorous inquiry and
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opportunities each week. How to apply: For more information about the role including a full job description, benefits information and how to apply please see the application pack: https://surreyunion.org/your
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from Black, Asian and minority ethnic groups and people with disabilities. How to Apply Please apply with your CV and cover letter on the University website. Further information can be found in
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collaboratively with colleagues across the pathology centre and the broader veterinary school. This may involve data entry, specimen management, and logistical support for teaching & pathology-related activities