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of Cambridge), the successful candidate will work in collaboration with Birmingham Tissue Analytics to use our in-house spatial microbiology imaging panel to localise and identify invasive bacteria. Platforms
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Specification First class degree in a biological science subject High level analytical capability Ability to communicate complex information clearly Full working knowledge of informatic environments including R
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Licence (or equivalent in home country) Experience of using in vivo mouse models to assess immune responses High level analytical capability Ability to communicate complex information clearly Ability
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degree relevant to research area (health impact assessment) or equivalent qualifications High level analytical capability Ability to communicate complex information clearly including to non-academic
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imaging High level analytical capability Broad understanding of next generation sequencing (NGS) technologies and demonstration of proven experience in analysis of bulk and single cell transcriptomic data
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communication and interpersonal skills Interest in academic medicine and service improvement High-level analytical and problem-solving capability Ability to communicate complex information clearly Understanding
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of specialism and normally, a higher degree relevant to research area or equivalent qualifications High level analytical capability Ability to communicate complex information clearly Fluency in
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analytical capability. Ability to communicate complex information clearly. Ability to assess resource requirements and use resources effectively. Understanding of and ability to contribute to broader
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Understanding of dementia and a commitment to improving the lived experience of people with dementia Familiarity with qualitative analytic techniques (e.g. thematic or framework analysis) Experience using NVivo
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innovation. Extensive experience and achievement in knowledge transfer, enterprise and similar activity. Ability to think strategically on matters relevant to the role. Excellent analytical skills and ability