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described in the project overview. Owing to the current composition of the project team, there will be a mild preference for candidates opting for project 2 on “Models and machine learning”. An explanation
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data is lacking. With the DataLibra project, we aim to close this gap, by developing AI models and tools for structured data (Table Representation Learning), to help organizations, of any size, domain
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to characterize the molecular properties of catalysts together with statistical methods to derive predictive models for selective catalysis. In a data-driven approach, an initial set of reactions is analyzed and
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network in adversarial situations? How to model the military supply logistics concepts taking into account adversarial actions? What are optimal and robust network topologies for a supply logistics concept
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) Establish LCI models for the port call process Evaluate existing marine impact categories, and develop novel cause-effect pathways for marine impacts Establish probabilistic inventories for prospective LCA
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early steps in lung tumor development. You will use cutting-edge techniques including lung organoid models, single-cell transcriptomics and epigenomics, and CRISPR-based genetic perturbation. Key
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or showing willingness to learn machine learning models Having interest in stakeholder engagement Desired knowledge of Nature-based Solutions, especially in agriculture and developing country contexts
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on software and other IT products. We also offer access to additional employee benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest in
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on software and other IT products. We also offer access to additional employee benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest in
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making them safer, but Andino also uses the polio virus as a model to study how other enteroviruses replicate. Viruses in its family cause disease in humans in many different forms, from stomach flu and