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Field
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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adaptation by strengthening energy system resilience against growing climate-related risks. Modeling energy systems presents numerous challenges, which become increasingly intricate when applied at urban
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Organisation Job description For the National Growth Fund (NGF) project “Groeien met Groen Staal” (GGS), a PhD position for the period of 4 years is available in the context of modelling green steel
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” (GGS), a PhD position for the period of 4 years is available in the context of modelling green steel mechanics at the atomic scale. In this project, the University of Groningen will develop an array
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. To do this, knowledge or willingness to be trained in advanced statistical modelling, ideally with an interest in methods for causal inference in observational data, is strongly preferred. Using various
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of predictive models for energy demand and production. These models will leverage techniques such as time series analysis and machine learning and will be integrated into a digital twin platform. The aim is to
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projects related to magnonics, spintronics and magneto-acoustics. We are looking for a candidate with a strong motivation for experimental work, although simple modelling and numerical simulations are also
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. Traditional analytical and numerical approaches struggle to capture the nonlinear interactions between the outer steel tube, sandwiched concrete, and inner steel tube, necessitating advanced computational
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-intensive products composed of numerous parts, and is vulnerable to unexpected events. Smart technologies can collect, analyze, and represent data from various sources, significantly enhancing the visibility