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is looking for an aspiring PhD candidate to research causal machine learning and uncertainty quantification for Earth Observation time-series. Currently, predictive AI in Earth Sciences relies heavily
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enabling new transmitter concepts, but only if we can detect imperfections and correct them in real-time. In this PhD, you will build the digital “brain” that makes this possible: an energy-efficient
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real-world challenges faced by industry, governments, and society within the international STRUCTURE project? Information The PhD candidate will work within the international research project STRUCTURE
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through 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 Here's a great opportunity! A PhD
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tissue architecture, often lack maturity, and can show significant variability. In this PhD project, you will investigate how engineered microenvironments influence organoid formation and development
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of the Quantum & Computer Engineering (QCE) department is looking for a highly motivated PhD candidate who is eager to work on AI based solutions for predictive inteligence for MRI scanning. The candidate will
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‑science, and AI expertise. We are seeking a highly motivated candidate for the PhD position described here, who will contribute to this challenge by advancing system‑level co‑design of architecture
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architectures, and scalable system designs, this project aims to ensure that greenhouse energy systems can continue to provide grid supporting flexibility. These greenhouse energy hubs can thereby reduce the need
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materials by embedding AM into industrial repair and remanufacturing practices. This large, interdisciplinary national research programme consists of 15 PhD projects which will contribute to the development
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the future of sustainable protein crops in the Netherlands? Are you excited about combining plant physiology, genetics, and cutting-edge phenotyping to advance the protein transition? Then one of these two PhD