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Field
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norms, and cultural variation beyond English; Run user studies to understand how people perceive and collaborate with conversational AI, paying attention to trust, cultural sensitivity, and affective
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of the English language; Able to work independently and in a team; An academic, creative and curious mindset; Preferably research experience in network science, AI, and/or AI-driven network analysis; *Candidates not (yet
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and materials engineering. For more information about the APE group please use the following link: www.rug.nl/research/ape. The project cooperates with the Bernoulli Institute of Mathematics
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you passionate about spatial analysis and
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mining has allowed us to obtain insights from large amounts of data for decades, and it is worth revisiting ideas and concepts from this field for the purpose of interpretable machine learning. Pattern
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flexible alternative. Thanks to their significant thermal inertia and ultra-low-temperature operation, DHCNs can absorb surplus renewable energy, respond to market signals, alleviate grid stress, and provide
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The successful applicants will work as part of the Groeien met Groen Staal (GGS) programme, which aims to make the Dutch steel sector CO₂-neutral by 2050. Steel is crucial to modern society and plays a significant
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revisiting ideas and concepts from this field for the purpose of interpretable machine learning. Pattern-based modelling, for example, cannot only be used for exploratory data mining but also for predictive
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to work both independently and collaboratively in an interdisciplinary, multicultural research environment. Strong analytical skills, with experience in statistical analysis, geospatial data processing
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Your job Are you a highly motivated and enthusiastic individual with a strong background in process-based modeling, data analysis, and soil sciences? Do you want to participate in a large-scale