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Vacancies PhD Candidate in Explainable AI for Earth Observation Key takeaways With the growing integration of Artificial Intelligence (AI) in geospatial decision-making processes, ensuring
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Computer Science, Artificial Intelligence, or a related field; Affinity with Reinforcement Learning and Deep Learning. Preferably you have a track record in these fields during your studies, for example in
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-modal prior information Job description The project is part of the IMAGINE open innovation lab (https://research.umcutrecht.nl/news/imagine-takes-off/ ), and aims to develop novel computational methods
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about how artificial intelligence is changing state actor powers? Do you want to conduct critical and in-depth legal research at the intersection of technology, law and power? And would you like
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Charger). In this role, you will design scalable power converters and intelligent BMS architectures for mobile charging platforms, contributing to the prototyping and real-life testing of a modular mobile
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operations research, algorithmic discrete mathematics, complex networks, statistics, systems theory, computational science, and artificial intelligence with applications in health care, energy systems, traffic
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will design, implement, and evaluate, within the framework of Design-Based Research, a professional development programme that supports STEM instructors in using AI effectively and critically in
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Institute for Mathematics, Computer Science and Artificial Intelligence with the topic of responsible human-AI collaboration. The successful candidate will become a member of the Multi-Agent Systems Group
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relevant to this project include a wide range of computational intelligence and ML techniques, distributed, multi-agent optimization, market-based coordination between agents, automated negotiation and
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at universities, such as thesis supervision and assisting in courses. Requirements Desired profile A master degree in computer science, artificial intelligence, human-computer interaction or similar. Self-drive