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and digital circuit architectures. You will have access to state-of-the-art design and testing facilities, including advanced fabrication technologies and specialized measurement labs. As part of a
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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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://www.academictransfer.com/en/jobs/359394/phd-in-multi-modal-ai-for-uav-b… Requirements Specific Requirements A master’s degree in Electrical Engineering, Computer Science, Artificial Intelligence or in a strongly related
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of 18 months and after satisfactory evaluation it will be extended for a total duration of 4 years). The preferred starting date is 1 September 2026. This should lead to a dissertation (PhD thesis). We
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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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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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appointment, averaged over the course of your PhD. Job requirements Completed a relevant Msc degree in systems and control, engineering, applied mathematics, or a related field. A sufficient background and
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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, composites, and components with embedded electromechanical functionality. While these technologies offer major opportunities to enhance product performance during remanufacturing, they also
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architectures, composites, and components with embedded electromechanical functionality. While these technologies offer major opportunities to enhance product performance during remanufacturing, they also