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and simulation techniques to reduce food waste and make food supply chains more sustainable? If your answer is “Yes!” to these questions, then this PhD position might be the perfect opportunity for you
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based on high-resolution (~5 by 5 kilometer spatial resolution) global climate simulations for current and future climate from the NextGEMS project . These simulations are novel as they (partly) resolve
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Loadability and robustness under dynamic or off-axis forces You will combine analytical modeling, finite element simulations, and experimental validation to explore new coupling topologies and materials
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Vacancies PhD position: Enabling Membrane-Based Industrial Effluent Reuse using Model Predictive Control Key takeaways The Netherlands is a water-scarce country. We therefore need to focus
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. Your job In this PhD position, you will conduct idealised experiments with an atmospheric model (OpenIFS), using concepts from the mathematical field of periodically forced dynamical systems. You will
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on software and other IT products. We also offer access to additional employee benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest in
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study, you will develop a model for the dynamic methane cycling in global inland waters. This model will build on our pioneering model framework and simulate the changes in cycling fluxes of major carbon
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PhD position on Modelling of Ocean Alkalinity Dynamics Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline: 30 August 2025
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PhD position within the project "What's wrong? Ancient corrections in Greek papyri from Egypt" (AnCo
Universities). Leiden University offers an attractive benefits package with additional holiday (8%) and end-of-year bonuses (8.3%), training and career development. Our individual choices model gives you some
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through soil, surface water, and groundwater systems. By validating model simulations with in-situ measurements (e.g., soil moisture, groundwater levels, surface water) and geospatial datasets (e.g