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profound consequences for human lives. By focusing on transparency and explainability, this PhD project gives you the opportunity to shape how humans and AI interact in high-stakes contexts. You will help
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protein crops and understanding plant biotic interactions that underlie sustainable and biodiversity-positive cropping systems. Field trials at research stations, and potentially on-farm, will generate
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, regional and local actors to work together on various domains including energy and health. These various stakeholders act based on the values they hold. This project aims to study how value alignment takes
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-accoustics: the noise annoyance as perceived by humans and even wildlife. An important part of your work consists of designing and contributing to measurement campaigns, but you will also play a central role
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the device and for algorithm efficiency as compared to qubits. We will explore the use of tightly focused laser beams and their interaction with crystals of trapped ions to realize new ways to prepare and
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production constraints of one or more of these protein crops. Interact with farmers to collect insights on current cropping systems and factors affecting the adoption of novel protein crops. Design diversified
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and performance. Therefore, monitoring the health of these systems is crucial, which is now largely performed by human experts. The aim of this PhD project is to design innovative monitoring algorithms
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greenhouse needs but also to act as system buffers that support large-scale renewable integration and mitigate grid congestion. We call this a 'system-positive' MC-EH. In this PhD trajectory, we focus