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analysis strategies including phospho/proteomics and metabolmics, selected cell culture and animal model systems as well as clinical samples will be investigated. Your future tasks: Active participation in
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The GEOCLOUD project team will use the cloud policy dataset together with infrastructure and usage data developed in other work packages to model how policies influence cloud geography and computational
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microscopy, as well as in developing approaches to track cell migration in the spleen in real time. Extensive experience with immunization and infection models is also essential. Experience in independently
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by robots. Navigation: Crafting mapping and navigation solutions that take into account the semantics of complex, real-world environments. AI for Physical Systems: Utilizing AI to boost
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analytical modelling, health inequalities research, and evidence synthesis. By leveraging these diverse approaches, we strive to produce evidence-based research that strengthen public health and inform policy
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Leedham (colorectal cancer biology), Dan Woodcock (cancer genomics), Helen Byrne (mathematical modelling), and Jens Rittscher (computational pathology and imaging AI), offering a unique opportunity to work
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developing characterisations of network models and interactions with methods in statistical machine learning. The post holder provides guidance to junior members of the research group including project
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data to build hypothesis and test them in laboratory models. You will contribute ideas for new research projects, collaborate in the preparation of scientific reports and journal articles and act as a
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Prof. Luigi Rizzi (Collège de France), seeks to investigate the acquisition of French from a cartographic perspective, employing the Growing Trees model developed by Friedmann, Belletti, and Rizzi, and
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-Performance Computing (HPC) systems are essential infrastructure for solving complex scientific and engineering challenges. However, the rapid growth of HPC alongside AI is creating an urgent sustainability