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in vivo neurophysiological recordings and behavioral assays in mice and tree shrews. • Data Analysis: Process large-scale neural datasets, applying computational tools to model behavioral and neural
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and AI as applied to organic synthesis. It is a large collaborative project involving researchers in the US (Prof Abigail Doyle, UCLA, Prof Olaf Wiest, Notre Dame, and a large Pharmaceutical Company
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expertise in Systems Biology and Metabolism. Proven experience in analysing large-scale omics datasets (metabolomics, transcriptomics, and metagenomics) and their multimodal data integration. Advanced
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technologies including semantic/task-oriented data processing, signal processing, and network resource management to improve the performance of future wireless communication systems. Finally, due to the large
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on health data as well as training AI models on health data across national borders. Key responsibilities Design, implement and benchmark machine learning models for large-scale health datasets consisting
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workflows to enable AI-readiness at scale. You will work on designing system software for automating processes such as intelligent data ingestion, preservation of data/metadata relationships, and distributed
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have the opportunity to explore these questions in depth with other philosophers, through discussions with engineers and scientists across Europe, and as part of a large-scale program focused
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-institutional constellation of SciLifeLab researchers and infrastructure units. The Human Protein Atlas (HPA) is a large-scale international effort to map the spatial distribution of proteins in human cells
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institutions worldwide, working together to advance our understanding of the early universe, dark energy, neutrino masses, and the large-scale structure of the cosmos. The observatory is currently operating a 6
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hydrogen more affordable by developing advanced models while working with partners across Europe? Information This position is part of a large European collaborative project aimed at accelerating renewable