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on global and regional temperature. However, so far, such model-data comparisons chronically suffer from a lack of field data describing regional and seasonal hydrological regimes under past warm climates
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science (psychology), data analytics, and AI-driven methodologies, you will contribute to a deeper understanding of how brands create engaging, emotionally resonant, and effective advertising. Supervision
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, both in applied and fundamental network science research areas. Moreover, there are ample opportunities to collaborate with other research groups at LIACS, for example, data science, text mining, and
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of the model plantArabidopsis thaliana. At a later stage: extend the models to three dimensions in close collaboration with a postdoc in computational science in our team. Selection Criteria Master’s degree in
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this NWO summit EMBRACER project at the forefront of polar research. You will explore Arctic sea ice decline and ocean warming using satellite data and coupled modelling tools. Collaborate with
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, you will focus on that. Your job In this PhD project, you will be part of a large consortium of six PhD candidates and three postdocs. Together, we aim to understand the working of storm surge barriers
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of Amsterdam. Interested in developing fundamental machine learning techniques for tabular data to democratize insights from high-value structured data? Then this fully-funded 4-year PhD position starting Fall
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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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programming skills (Fortran, Python or similar); affinity with spatiotemporal data analyses and numerical modelling; strong reporting and presentation skills; a good level of written and spoken English. Our
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trading is key, a background in finance is definitely not. Our team is built mostly from academia — professors, postdocs, and PhDs — not from other trading firms. We seek mental diversity and add a select