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rearrangements. It will allow progress in the prediction and, eventually, mitigation of their detrimental effect in materials. In addition, it will provide a better understanding of the fundamentals of fast
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, proteins, metabolites), aided by in silico target prediction, will enable us to uncover putative target of the compound, which will then be validated functionally using a broad range of biochemical and
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Frequency Lattices and RF-Controlled Comb Dynamics Our group investigates new ways of controlling and confining electromagnetic waves through time as an active design dimension. Rather than engineering wave
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focused on how ice formation influences carbon cycling in cold environments. The project combines controlled freezing experiments, aqueous geochemistry, gas monitoring, and mineral characterization
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mentality and interest for both fundamental and application-oriented research; an excellent command of spoken and written scientific English. What we offer At Maastricht University, you’ll work in an
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, many regions worldwide still struggle to meet acceptable standards. One challenge of predicting the effect of emission reductions is the strong non-linear connection between emitted species and the
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interpretation and prediction of structure-property relationships. https://sustainablepolymersynthesis.com/ Interested? Want to know more about this position or what it’s like to work at our university? Reach out
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together with other energy assets, such as electrical boilers, within a Model Predictive Control (MPC) framework that optimally balances electricity and heat production. Within FLEX-SMR, this PhD focuses
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to predict traffic demand, user mobility, and network conditions, enabling autonomous decision-making that maximizes network performance and user experience. A unique aspect of this research is the integration
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individual and contextual factors predict successful knowledge transfer across virtual-virtual and/or virtual-real contexts. The outcome will contribute to new concepts and methods for studying spatial