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) and economics (or related fields). Applicants must have experience in one or more of the topics: Model-predictive control Numerical optimization Econometrics Virtual power plants Power systems and/or
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-compliance in ecological momentary assessment, or exploring the use of machine learning techniques to aid the estimation of item response theory (IRT) models in small samples. The ideal candidate has prior
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and the ability to handle hectic periods Ability to work on problem solving, programming, data modeling and analysis, scientific writing, and public presentation Ability to work with specific
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and Autonomous Maritime Navigation, partially funded within, Operational Zero Emission Ferries – Safe and Efficient Human-Autonomy Teaming in Complex Maritime Transport Systems, (BZERO) The position
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, collaborative work or tasks are supported or mediated by digital tools, which partake into complex collaboration ecologies. The rise of intelligent technologies, such as generative AI tools, has placed
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approaches that rely on simplified transmission models, FBMC ensures a more efficient, reliable, and grid-aware allocation of electricity flows. By using detailed network modeling, FBMC facilitates a more
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technological progress in our increasingly digital, data-driven world. Researchers in Integreat develop theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data. By
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, wearable and nearable sensor data, continuous glucose monitoring data, self-reported data, and multi-omics analysis to develop predictive models for steroid hormone disorders, particularly adrenal
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quantifying recent changes in glaciers in Western Norway from archival and contemporary aerial datasets as well as Uncrewed Aerial Vehicles (UAVs), or modelling the future state of the cryosphere using
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modeling of narrative, which includes developing new computational models of narrative and re-implementing historical models (also known as “storytelling systems”) so that they can be easily studied and used