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such goals via large-scale experiments or via simulation modelling? Then we have 2 PhD positions available, within the Dutch-Danish project Robotic Intercropping , within the focus areas ‘Agro-ecological
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models for the integration of healthcare data specifically incorporating patient preferences. This includes challenges such as how to adapt to different perspectives and data models as well as ensuring
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in environmental sciences, circular economy, risk and safety assessment, and sustainable innovation to address complex challenges related to human and environmental health, climate change, and resource
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Learning for Foundation Models’, where the aim is to adapt these models to new tasks without forgetting previous knowledge. The precise focus of the project can be defined in collaboration with
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
is to exploit transformer-based attention mechanisms to model sequential dependencies and capture long-range interactions, making them promising tools for complex spectrum management. Despite being
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the properties of complex, biological liquids arise from liquid-liquid phase separation. The field of liquid-liquid phase or biomolecular condensates has been a growing field during the last two decades. With
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involve protein handling, general laboratory (bio-)chemistry, data analysis and comparison to expected physics. Due to the complex structure of the composite material, we expect emerging effects which can
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. This PhD will design methods that enable robots to achieve more robust, accurate perception and perception-driven planning for complex processes. You will investigate solutions like multi-sensing fusion (e.g
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are looking for a PhD candidate to research new adaptative architectures and foundation models for the integration of healthcare data specifically incorporating patient preferences. This includes challenges
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this goal. However, the computational expense of these models limits their use for generating forecasts, constraining the spatial resolution, level of physical complexity, and number of ensemble members