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through multi-modal sensing, autonomous UAV platforms, and advanced AI-based analysis. A central focus is the detection of defects in bridges and viaducts using X-ray, LiDAR, visual and acoustic data
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. This includes modelling, data analysis and algorithmic development, as well as experimental validation of models and algorithms. It contributes to the performance assessment of space missions. More specifically
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calibration, imaging as well as data analysis – employed by the Event Horizon Telescope in order to image a shadow of a black hole for the first time. Sara developed some of the key pipelines and procedures
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yields. Design robust uncertainty and OOD metrics for time-series satellite images and their foundation model embeddings to safely flag anomalies. Disseminate your research results by writing high-quality
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their mutual interdependence. The project aims to chart the entire ecosystem of Dutch-language prayer books over a long period of time by combining quantitative digital analysis with advanced qualitative
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-mm wave range as well as passive microwave imagers/sounders for ocean, land and atmospheric sensing. You will be engaged in the study and pre-development of one or more of these types of payloads. Your
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neuroanatomy, neuroscience or a related field, and enjoy analysing neuroimaging data, scripting and data analysis? And are you passionate about medical imaging and its potential to improve our understanding
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immunology with demonstratable experience and advanced knowledge of computational biology. You have experience with data-intensive technologies, such as the analysis of spectral flow cytometry, imaging, single
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support the failing heart—at the exact moment it matters most? This PhD position bridges a state-of-the-art Mechanical Circulatory Support (MCS) experimental lab with real-world clinical analysis in
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imaging, and organoid models. The main objectives of the project are to determine the specific types of DNA damage induced by mechanical alterations, to characterise the resulting transcription‑stress