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genomics (CROP-Seq). The successful candidate will be responsible for the integrative analysis of large-scale multi-omics datasets and the development of predictive computational models to identify complex
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, mathematical modelling, statistics, or related discipline Ability to conduct independent research in addition to working effectively as a member of a research team in a complex setting Strong verbal and written
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develops and applies standards-based methods to integrate complex industrial systems and achieve operational goals. Working closely with academic colleagues and industry partners, the team focuses
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to contribute to cutting-edge, interdisciplinary research focused on advancing next-generation drug delivery technologies to improve the treatment of complex diseases and enhance patient outcomes. Our team is
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for reliability and risk-informed decision-making. This role is ideal for someone who enjoys tackling complex challenges and working across both research and industry environments. You will engage with a variety of