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on developing machine learning algorithms to support the use of complex urban simulators in decision-making under uncertainty. This PhD project shifts the focus from optimality to relevance in urban land-use and
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of the power converters in collaboration with our industry partners. The candidate will have the opportunity to work with state-of-the-art tools for simulation and design power converter and advanced power
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partners. The candidate will have the opportunity to work with state-of-the-art tools for simulation and design power converter and electric machine and control the converter with advanced power electronic
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breast cancer while it is early-stage and treatable. This one-size-fits-all screening saves lives, but also has drawbacks in terms of false positives, false negatives, and over-diagnosis. Simulation
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2) and ensures a smooth transition to partners for later stages of development. By connecting science, innovation, clinical trials, regulatory processes, and product development, NIVI aims
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preferably has strong programming skills and experience with the modeling and simulations of fluid or solid mechanics or ice sheet flow and deformation (for example by use of finite element/volume methods
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new biological phenomenon, the formation of biomolecular condensates by liquid-liquid phase separation (LLPS), and how this emerging field can lead to entirely novel concepts to treat brain diseases
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The scholarship is a collaborative effort focusing on industrial design and optimisation of product assembly, quality inspection, and assembly process optimisation. It is expected to be a cross-disciplinary
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numerical modelling studies within: Microbial growth in hydrogen storage salt caverns and the interplay with transport processes (diffusion and convection) The bio-geo-chemistry of leakage from CO2 storage
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results with AI models and system simulations to create a digital twin of the PtX process for predictive optimization and scenario analysis. Funding This PhD position is generously funded through the Villum