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this postdoc position, the focus is on methods and algorithms for large-scale graph analytics, in particular network science approaches for analyzing longitudinal, population-scale relational data derived from
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2026. About QUASI QUASI—Stormy Atmospheres over Quiescent Waters: Dynamical Implications of Fine scale Air–Sea Interaction—is an ERC Consolidator Grant project that uses Lake Victoria as an analogue
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-scale development and implementation of green hydrogen in the Netherlands and across Europe. The programme addresses the system-wide conditions required to enable a successful hydrogen transition
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to innovative, multidisciplinary research and a constantly evolving curriculum that addresses key societal challenges. Our faculty is large enough to make an impact on both a national and international scale, yet
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the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive
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and beyond. Moreover, we work closely together with international groups and companies. Working conditions The working atmosphere at the institute is largely determined by young, enthusiastic, mostly
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position focused on the development of 3D LPT techniques for industrial applications. Job description In this Postdoc position, you will focus on the development of large-scale three-dimensional Lagrangian
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Description Are you excited about using large-scale AI to accelerate scientific discovery? Join a Horizon Europe project developing next-generation scientific foundation models that combine knowledge graphs
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between environmental and biological factors on cognitive development. They will develop, implement, and report in academic articles research on lifespan neurocognitive development in large-scale
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findings at international conferences. This vacancy involves Task 3.1 of ‘The Power of Size’ project, which is aimed at deriving theoretical and empirical scaling relationships linking species richness