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engineering, information systems, geography, spatial planning, remote sensing and GIS, data science and advanced analytics, statistics and information management, as well as geographic information science and
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quantum technologies. The research will investigate the mechanisms governing defect formation and spatial precision to enable the deterministic fabrication of high-quality NV centers. A key objective is to
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institutional initiatives such as DAISI. Dr. Song Xiaoyu’s laboratory is seeking a highly motivated Research Fellow with expertise in computer science, biostatistics, statistics, bioinformatics, computational
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robotic AI systems and automated sorting or ranking methodologies are inspectable and risk-aware. Implementing advanced filtering techniques and symbolic spatial relation models to optimize tracking
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, functional, spatial, and temporal aspects of engineering information. The research will investigate how such integrated representations can support consistency checking, automated reasoning, and the synthesis
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(archaeology and archaeobotany) and Charles University Prague (spatial modelling). The research outcomes will contribute to resilience and transformation in the Middle-high latitudes of Europe and operationalize
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storm events. Martian aurora, investigating the spatial and temporal variability of auro-ral emissions using multispectral imaging and spectroscopic data from the Perse-verance rover (SuperCam, Mastcam-Z
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remote, augmented and virtual spaces. We work on overcoming the challenges of limited temporal and spatial accuracy of such remote interactions. We pay particular attention to the exploration of potential
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and Mars Express alongside energetic particle and plasma measurements to characterise the atmospheric response to solar storm events. Martian aurora, investigating the spatial and temporal variability
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of limited temporal and spatial accuracy of such remote interactions. We pay particular attention to the exploration of potential and limitations arising from the use of AI-based methods in predictive feedback