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Discrete Element Method (DEM) models to simulate the charging and formation of multi-component, poly-disperse burden mixtures in the blast furnace. The goal is to optimize burden structure and permeability
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, in health and disease. The candidate will study structural and functional interactions on the level of the tripartite synapse. For this, you will use in vitro cultures of neurons with astrocytes and
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models (hybrid modelling) to map soil and biomass carbon fluxes across Europe at high resolution. Your job This position is embedded in a multi-institutional EU-funded project Intergenerational Open
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on carbon turnover models and the fusion of data science forecasting methods with process-based models (hybrid modelling) to map soil and biomass carbon fluxes across Europe at high resolution. Your
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models (hybrid modelling) to map soil and biomass carbon fluxes across Europe at high resolution. Your job This position is embedded in a multi-institutional EU-funded project Intergenerational Open
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on carbon turnover models and the fusion of data science forecasting methods with process-based models (hybrid modelling) to map soil and biomass carbon fluxes across Europe at high resolution. Your
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Postdoc in modelling Greenland and Himalaya precipitation using machine learning Faculty: Faculty of Science Department: Department of Physics Hours per week: 36 to 40 Application deadline: 31
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Vacancies Postdoc position for Multi-scale process modelling Key takeaways At the CPM chair we are looking for a postdoctoral researcher to join the EU-funded FASTER project, which aims to enable
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Vacancies Postdoc position on Data enhanced physical reduced order Models Key takeaways The position is embedded into a large-scale effort between academic groups in the Netherlands and industrial
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: autonomous and fault-tolerant systems (including health monitoring systems), advanced guidance, control, estimation and optimisation techniques and tools, and the technology development of GNC sensors with a