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data-driven analysis. The ultimate goal will be to better comprehend the link between developability, affinity and functionality. You will build and screen antibody and nanobody libraries, plan and run
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around “ideal” worker and entrepreneur models and the role well-being has therein. The post is not tied to a single externally funded project, but supports the development of high-quality quantitative
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of Immunity – Artificial Intelligence (CoI-AI) Programme, a pioneering initiative that integrates controlled human infection models, advanced immunology, and AI-driven analytics to accelerate vaccine discovery
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future. Fueled by curiosity and a deep sense of duty, they contribute invaluable insights to research and teaching, enriching our society. Are you inspired and driven by the desire to make a meaningful
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techniques: identifying the factors that establish early RT at target genes, determining how they promote translocation biogenesis, and testing them in preclinical models. The work combines CRISPR engineering
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methods for the modelling and causal analysis of mass transit systems. The research will focus in particular on the development and application of data science methods to address key challenges in capacity
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on advanced perception and scene understanding for robotic harvesting. The successful candidate will contribute to the development of novel methods for: simultaneous 3D scene reconstruction and plant modelling
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datasets to improve the understanding and prevention of cardiovascular and cardiometabolic diseases. You will have the opportunity to conduct data-driven phenotyping, association and causality analyses, and
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at scale. By integrating AI-driven image analysis with molecular and clinical data, the work seeks to identify novel disease-associated features and translate these into clinically deployable models
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will be critical to work closely with the other 3DxN teams, with potential opportunities to utilise and develop skills in AI inference models, data integration, 3D image reconstruction or signal