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qualifications around data-driven digital twins, energy systems modelling, forecasting and control. Some prior knowledge on distribution grids and methods for grid services is preferred. Moreover, the following
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background in molecular medicine or immunology. Experience with flow cytometry and animal models is a prerequisite, while basic understanding of extracellular vesicles will be an advantage. Research
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simulate wind and solar forecast uncertainties on pan-European level, leveraging latest machine learning weather forecast models Apply machine learning methods to forecast day-ahead and balancing market
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the fundamental understanding of molecular thermodynamics, and realize the importance of different types of properties in selecting the most physically sound thermodynamic model for water and electrolytes
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or more of the following research areas: Development of multi-regional input-output (MRIO) models Building of spatiotemporally differentiated inventories of environmental and social data to be integrated
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, laboratory testing and data augmentation. Your main goal will be to develop predictive models for assessing the degradability of bioplastics, facilitating a transition to more sustainable materials. More
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research in critical technology, which is subject to special rules for security and export control, open-source background checks may be conducted on qualified candidates for the position. The Department
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the context of an advanced electric actuator. The candidate will evaluate existing research and commercial solutions, propose new methods, and potentially develop domain-specific models and toolkits to address