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plant phenotyping, microbiome profiling, predictive modelling and targeted experimental validation to identify the microbial factors that make plants more resilient to disease. Your job You will join the
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control over modelling, animation, visual effects and compositing. Building these systems requires considerable expertise and can be repetitive, as each task may involve constructing or adapting large
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application! We are looking for a PhD student in Medical Science, AI and Bioinformatics. Your work assignments This project aims to develop AI foundation models for integrative single-cell and multi-omics
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using diverse models, both in vitro and in vivo. The precise direction of the project will be developed according to the student's interests and emerging findings in the laboratory. Depending
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immunomodulatory compound, you will determine how it reprograms host lipid pathways to boost immunity and eliminate infection. Using lipidomics, zebrafish models and clinical samples, this research will identify
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the microbiome acquired in early life influences immune development and intestinal health? Join an ERC Starting Grant project that combines advanced gut-on-a-chip technology, organoid models and omics approaches
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provide faculty-level scientific continuity, lead experimental strategy, coordinate studies across collaborators and core facilities, troubleshoot complex leukemia models, interpret integrated datasets, and
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interpret experimental and physiological data and contribute to the development of models and predictive approaches for human thermal responses. Communicate scientific results through peer-reviewed
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for probabilistic unsupervised learning for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured biological (multi-view) high
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, you will focus on developing mathematical models and numerical algorithms that systematically integrate uncertainties into the design process of optical systems. The goal is to enable novel design