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This multidisciplinary position is part of a WASP NEST (Novelty, Excellence, Synergy, Teams) project focused on advancing generative models and perceptual understanding in computer vision. The
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We are looking for a postdoctoral researcher to contribute to the development of next-generation battery management systems (BMS). The position is hosted by the Automatic Control group
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their own research agenda within some of the department’s core themes: Digital transformation and innovation strategy – how organizations adapt their innovation processes and strategic priorities in response
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processes are unknown. The project will explore catalysts on a single atom level for the synthesis of bio-based aviation fuel. Single atom metal promoters dispersed in a metal host offers unique possibilities
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position in active flow control for wingsail performance and operation. The goal is to develop innovative flow control techniques to optimize aerodynamic performance and reduce vibrations in unsteady
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electromagnetic processing. The work involves close cooperation across several departments. You will have access to a well-equipped experimental environment and be part of a collaborative team dedicated to creating
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on LLM-based risk analysis and demonstrate its applications in various risk control measures. You will collaborate closely with other researchers at the division and contribute to building a shared
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analysis related to sampling, optimisation and learning problems in high dimensions. Examples of current research topics include convergence analysis of Markov processes, efficient Monte Carlo methods, large
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, design and characterization of quantum processors Development and optimization of nano-fabrication processes for large-scale devices Development of optimal control techniches to achieve fast and high