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the consequences of actions, and adapt reliably when the physical world changes? The project connects multimodal perception, reasoning and action with predictive learning and edge intelligence. Research directions
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perception, optimization, or control will be an advantage. The candidate should be comfortable with scientific programming, for example in Python and common machine-learning frameworks such as PyTorch
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perception, optimization, or control will be an advantage. The candidate should be comfortable with scientific programming, for example in Python and common machine-learning frameworks such as PyTorch
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research. The empirical work will be based on in-depth case studies in the Danish port sector, with particular attention to Port of Aalborg and its surrounding ecosystem. The project is expected to be
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levels. A central component of your work will be the collection and analysis of qualitative empirical data. The empirical work will be based on in-depth case studies of firms operating within the Danish
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scenarios, and analyse the resulting data. You might further engage in qualitative follow-up studies gaining in-depth knowledge about the underlying mechanisms. A central part of your work will be
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subsurface processes, and you are motivated to work in depth with shallow groundwater in urban environments and the processes that control its spatial and temporal dynamics. You have experience with
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atmospheres influence our affective life. It requires deep theoretical insight and experience with empirical research. The PhD student will conduct in-depth phenomenological interviews in Denmark, developing