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tend to hallucinate facts. By contrast, other AI technologies, such as knowledge graphs and formal reasoning engines, are able to reason reliably, but are less good at handling ambiguity. This PhD
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cutting-edge computer vision, wearable sensors, and citizen science, RUN2GETHER will capture large-scale, real-world data during running events and group runs. These data will advance our understanding
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these hypotheses through an interdisciplinary study of meat consumption in Greco-Roman Egypt, with particular attention to the origin and processing of meat, as well as its broader institutional, socio-economic, and
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demands of real-time, edge-based processing. We are looking for a highly motivated PhD researcher with an interest in optimizing AI models on resource-constrained embedded hardware. Requirements include
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, critical-thinking and not afraid to take initiative; can work independently, but also has good teamwork skills; thinks in solutions, not in problems; has an excellent command of English (spoken and written
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is also a team player within an interdisciplinary and international research environment; • Has an excellent command of academic English; a good knowledge of Dutch is a strong asset given the data
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research and in work psychology. You have an interest in both quantitative and qualitative methodologies. You have good command of both Dutch and English. You enjoy writing and are skilled at it. You are