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and authorities interested in improving civic participation. The research in this postdoctoral position focuses on text and image feature learning for news ecosystems, analysing the complex
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back-end development strong communication and academic writing skills; Good to have criteria: experience working with geospatial or image-based data; an interest in urban health, mobility, public space
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of Remote Sensing imagery for land monitoring, from UAV and airborne platforms to imaging spectroscopy, optical to SAR satellite data at a global scale. Increasingly, our work integrates AI and machine
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machine learning; acoustic signal processing enhanced by ML; human-in-the-loop/active-learning methods; representation learning; analysing sound sequences and vocal interactions; category discovery; Perma
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-voltage converters as programmable heat sources, enabling large-scale, efficient electrification of heating in carbon capture and utilization processes. Electrifying industrial heat Industrial heat accounts
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ranging from (bio)chemistry and physics to bioinformatics and cell biology. Our drive is to push boundaries in our aim to visualise molecular processes in their native context and at the highest possible
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or cryo-ET sample preparation, data collection and image processing is particularly valuable. You are interested in understanding molecular mechanisms of host–pathogen interactions and are willing
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, Weindel, van Maanen, & Borst, Imaging Neuroscience, 2024, and Den Otter, Weindel, Stuit, Van Maanen, Plos Computational Biology, 2026 for more information about these methods. The goal of the project is to
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-disciplinary domain. Specific research topics to apply to bioacoustics might include: low-footprint machine learning; acoustic signal processing enhanced by ML; human-in-the-loop/active-learning methods
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on text and image feature learning for news ecosystems, analysing the complex multidimensional feature space of visual information to support data-driven journalism. This includes experiments