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), we aim to close this gap, by developing AI models and tools for tabular data, to help organizations, of any size, domain, and level of data literacy, get insights from structured data, efficiently
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as PhD candidate or postdoc and advance knowledge in social policy and public health. Job description Social policy decisions are often informed by short-term outcomes. This results in ‘firefighting
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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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) 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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based hydrological modelling with observational data. The research involves setting up an integrated hydrological model that collects both vertical and lateral hydrological processes, from the atmosphere
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of this PhD position is to contribute to the design of models and mechanisms that enable risk-aware optimisation of grid capacity and facilitate market participation for large-scale ESS, providing solutions
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. However, current estimates of methane emissions from inland waters to the atmosphere are highly uncertain because of limitations in long-term observational data and modelling methodology. In this four-year
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transparency, accountability, and trust in model outputs has become imperative, especially in critical domains such as disaster risk management, social vulnerability mapping using satellite imagery, and
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you enjoy working on interdisciplinary research that bridges energy modelling with climate science, hydrology, risk analysis, and integrated assessment? Join us as a PhD candidate. Your job The rapid
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in projects. Modern equipment for lipid biochemistry and analysis is available. We also have several vacancies for postdoc positions. Your qualities We are looking for a collaborative and enthusiastic