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of marine sensors and deep-sea equipment you have a class B driver's license you are able to communicate in German (written and spoken) you are able to communicate in French you are willing to travel
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-frequency in-situ sensors and instrumental lab measurements, as well as new high-throughput AI-based approaches, while ensuring interoperability of data processing pipelines in coordination with scientists
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) software for topology-informed biomedical image analysis and large foundation models. You will be responsible for Develop new machine learning algorithms for microscopy image analysis problems (2D/3D/4D/5D
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-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics
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, GPS, proximity sensors, and accelerometers, enabling the simultaneous monitoring of vocal activity, behavior, interactions and location in both semi-free-ranging (Affenwald Straußberg) and wild
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-omics data sets generated with innovative high-throughput technologies used in Research Sections I and II (e.g. sensory, metabolome, proteome and transcriptome data) by using efficient algorithms and
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are developing algorithms and tools to address these bioimage analysis problems, which are all driven by real biomedical research. Depending on the background and interest, the student will have the opportunity
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on two core but complementary areas: Computer vision and sensor data analysis, applied to tasks such as object detection in drone images (e.g., pest or disease detection), object tracking (e.g. leaves
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-sampling data. Furthermore, the position holder will play a central role in creating high-quality training datasets (seagrass maps) to support artificial intelligence (AI) algorithms used in related projects
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for new quantum computing algorithms. It will rely on statistical structure learning represented by knowledge graphs and efficient low-rank tensor compressions. We are looking for: A completed scientific