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invite applications for an appointment as a PhD student in EEG Foundation Models. The position is funded by the Independent Research Fund Denmark grant titled: “Decoding neural signatures of social
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on the economic impacts of renewable energy based on econometric methods. The work to be undertaken is related to a project, which will draw on input-output models that are tailored to sub-national level data in
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processes through experimental characterization, design of production units, and development of predictive process models. Models will integrate sustainability assessments and genomic data and explore links
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scalable methods for understanding the inner workings of large language models and developing functionally-grounded steering and control techniques. The successful candidate will contribute to frontier
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on the development of novel methods for the analysis and optimization of components and structures based on mathematical modelling and experimental investigations of phenomena that are highly interdisciplinary and
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and analyze a novel control approach for utility-scale multi-vendor HPPs, to tackle future power grids, characterized by increased complexity and multiple uncertainties. You are expected to model
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to the cyclotron motion of electrons near the plasma center. However, recent models predict that as these waves traverse the plasma edge, they may be influenced by non-linear plasma–wave interactions. Some studies