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Field
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at the heart of these crises: they determine how ecosystems are managed, how biodiversity and ecosystem services are affected, and to what extent human demands are met. Large-scale economic and land-use models
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for the new green steels compositions, including impurities and tramp elements. These models should enable density-functional-theory (DFT) accurate large scale atomistic simulations of defects including
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the visual system. The goal is to create a robust mechanistic neural network model of the visual system that not only mimics its processing capabilities but also its adaptability, leveraging early
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, and optical imaging is welcomed. We foster diversity and female candidates are particularly invited to apply, since the gender balance recently declined with the departure of quite some female postdocs
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lithium-ion battery (BLIB) with fast charge/discharge (1 min) and high energy density. Working with three PhD candidates and one postdoc, you will help synthesise a conductive anode within a bicontinuous
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key physical properties of mixtures of molecules, including solubility, viscosity, and surface or interfacial tension. We will train a range of AI models to allow us to predict these properties from
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analysis, and high-performance simulations? We offer a challenging PhD position in the Mathematics of Computational Science group to design and analyse novel structure-preserving methods for stochastic
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of topics include algorithmic fairness in network analysis, developing network embedding frameworks for real-world network datasets or AI models based on agentic LLMs for simulating real-world network data
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screening, allowing for an increase in the early detection of cancer, while reducing the rate of false alarms. As a result, we envision that large regional and national screening programs, like the Dutch
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the Standard Model. The LHCb experiment at CERN is uniquely equipped to study decays of heavy hadrons with high precision. The prospective PhD researcher will take on a leading role in a search for lepton