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to efficiently train on the large, densely-connected and graph-structured data encountered in our systems of interest. Your contributions would be across the spectrum from methodological development
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with data analysis/modelling and programming (R or Python). Advantageous: geostatistics, digital soil mapping, remote sensing, GIS, big data or cloud tools. Proactive working style, strong communication
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storage, compression, and transfer systems suitable for large, long-duration experiments. • Build complete, user-friendly data-analysis workflows from preprocessing through visualization, and train
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) necessitate advanced software capabilities. Key functionalities of the HoloPython tool will include: Efficiently handling and managing large data volumes Performing numerical reconstruction of holograms
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towards generalizable principles across content areas and issues of societal relevance. The group is looking for a postdoctoral researcher to contribute to ongoing research on Large Language Models as
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range of topics related to imaging with geophysical data. Our research focuses on mathematical methods for processing, imaging, and inversion of geophysical data, the physics of wave propagation, and the
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phosphorus-driven eutrophication, with experience in soil monitoring and erosion processes. Skills in GIS, spatial analysis of large scale data, modelling, remote sensing, and programming (R or Python
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analysis of large datasets, high-throughput metabolomics, time-lapse microscopy, to investigate how to pharmacologically interfere with fundamental mechanisms in the regulation of cancer metabolism
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28 Feb 2026 Job Information Organisation/Company University of Basel Research Field Biological sciences » Biology Biological sciences » Other Chemistry » Biochemistry Engineering » Biomedical
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analysis, as well as for data processing, integration, and interpretation. Current research directions include, for example, applying DIA-based strategies in large-scale studies, combining electron- and