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single-cell sequencing, genetic perturbation, and advanced spatial methods (including smFISH, light-sheet imaging, and whole-brain clearing). This project builds on our expertise in gene regulatory
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to developing software solutions for data collection, signal processing (e.g., drift correction) and visualization. Ultimately, the goal is to demonstrate the prototype at the seabed. The candidate is expected
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classification system. Extensive monitoring and advanced monitoring systems, such as digital image correlation(DIC) or acoustic emission(AE). Evaluation and assessment of stop criteria in a multidisciplinary setup
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approaches, balancing the need for high-resolution imaging of shallow infiltration zones with the ability to map deeper flow paths and connections to underlying aquifers. The work will include numerical
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interpretation of text and image/video data to establish patterns in messages, beliefs, and experiences. This is the first position in the YOPOW research project, which will run for five years, from August 2025
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students and contributing to educational initiatives. Experience with remote sensing, GIS tools, and image analysis techniques is an advantage, as is knowledge of genetic methods (e.g., SNP-based data