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becomes prohibitively complex and energy intensive. Solid-state caloric cooling represents a promising and environmentally friendly alternative. Focusing on functional oxides, the project targets
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, from full complexity climate models, to turbulence models, to in situ data. The work will be at the interface between data analysis and theory. We are also open to employing data-driven techniques
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solvers, with the goal of exploiting models of various complexity, ranging from high-performance computing, via reduced-order models to data-driven (machine-learned) representations. In particular, we
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Nordic countries. Previous research in the Nordic region's welfare tradition illustrates the use of welfare technologies like fall alarms, cameras, tablets, and computers. However, more complex welfare
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/ Duties The primary focus will be on dynamical analyses, often using simplified models. But we consider all types of data, from full complexity climate models, to turbulence models, to in situ data