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evolution for decades. Yet, with the rise of modern cutting-edge technologies, we can now use novel, data-driven methods to explore the ancient past and unpack the origin of language. This postdoctoral
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Vacancies Innovation ecosystem developer and researcher for a sustainable data centre project Key takeaways The MISD project The MISD project aims to address the increasing climate impact of
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Administration and Policy Group at Wageningen, which is led by Prof. Dave Huitema. The PAP group is an enthusiastic, ambitious and rapidly growing group within the Department of Social Sciences. The PAP group's
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) to develop computational models for electric breakdown of gases Job description Electric gas discharges occur in nature, most prominently in air in the form of lightning and its less visible precursors
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) Assessing the performance and fault tolerance of neuromorphic hardware; (b) Designing and developing one or more machine learning (ML) and artificial intelligence (AI) algorithms to support and enhance
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Future-Proof Smart Logistics. It aims to contribute to the realisation of the PI concept by developing advanced machine learning-based decentralised decision-making algorithms. These algorithms will enable
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of the University of Groningen in The Netherlands. The position is available within the research project "Aggregating Safety Prefer-ences for AI Systems: A Social Choice Approach." The project aims to develop formal
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Automation group will develop novel machine-learning based control algorithms that allow for real-time adjustment of OSA therapy. The main challenge is to develop robust machine learning algorithm which can
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of the University of Groningen in The Netherlands. The position is available within the research project "Aggregating Safety Prefer-ences for AI Systems: A Social Choice Approach." The project aims to develop formal
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diverse workforce: we endeavour to develop talent and creativity by bringing people from different backgrounds and cultures together. We recruit and select based on capabilities and talent. We strongly