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background in linear algebra, finite fields and rings; Strong background in digital hardware design and design automation; Excellent hardware design, programming, and debugging skills; Experience with computer
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, or a similar field; Strong mathematical background: basic knowledge of graph theory and excellent background in linear algebra, finite fields and rings; Strong background in digital hardware design and
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transparent and intelligible. Although explainable AI methods can shed some light on the inner workings of black-box machine learning models such as deep neural networks, they have severe drawbacks and
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years, practitioners and researchers have realized that predictions made by machine learning models should be transparent and intelligible. Although explainable AI methods can shed some light on the inner
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to develop novel AI methods that make powerful models more transparent, robust, and usable in critical domains such as healthcare and smart industry. You will be part of a large national ‘Perspectief
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of foundation models, multimodal data, and explainability? This PhD project offers you the chance to develop novel AI methods that make powerful models more transparent, robust, and usable in critical domains
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conversational AI, paying attention to trust, cultural sensitivity, and affective interaction; Design methods and metrics to evaluate bias, fairness, inclusivity, safety, and emotional responsiveness; Explore
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interaction; Design methods and metrics to evaluate bias, fairness, inclusivity, safety, and emotional responsiveness; Explore applications such as conversational agents, mental well-being, and education, where
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related discipline in which chemistry and biology have been combined. independent in performing synthetic organic chemistry. experience with (immune) cells, microscopy imaging methods, and/or cell-based
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materials in the steel industry. Using Dynamic MFA with alloy-level tracking, it quantifies flows and stocks of elements such as copper, chromium, nickel, molybdenum, vanadium, and niobium. The research