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neural networks are large black boxes, we need both automatic methods to analyze such systems and human-interpretable certificates of the analysis results. We will devise automatic and sound methods
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consist of survey data from social workers and school teachers as well as qualitative interviews with frontline professionals and families. The project should apply a mixed method approach, but emphasis can
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testing of prosthetics/exoskeleton to developing new methods to investigate neural control of movements. The group is renowned for its pioneering work in musculoskeletal simulation, leading to the creation
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are envisioned to integrate a wide range of user terminals and network elements, which vary from small devices with limited capabilities to terrestrial base stations and even low Earth orbit (LEO) satellites
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and AI-based segmentation, with a particular emphasis on inter-vehicle collaboration. The overall goal is to develop robust, scalable methods for detecting and classifying structural anomalies (e.g
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the USV and UUV operate together to validate the developed SLAM and control methods. Performance metrics will include navigation accuracy, robustness of coordination, and mission success rate improvements
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assessment of the electric activity of the heart, as part of a broader project that aims at novel methods for measuring and interpreting intramural cardiac monophasic action potentials (MAPs) as
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the Computer Science study program. The stipend is open for appointment from August 1st 2025 or soon thereafter. The PhD students will be working on topics within the general areas of formal methods, model checking and
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of the electric activity of the heart, as part of a broader project that aims at novel methods for measuring and interpreting intramural cardiac monophasic action potentials (MAPs) as well as surface MAPs, and
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will conduct sampling, and apply experimental methods such as metagenomics and metatranscriptomics, linked to soil and emission data to help create predictive models. Within a broader framework, your