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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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disciplines. Desirable Skills and Experience (any of these skills help your application, but are not essential) Research Data Management: Experience with large-scale data curation, FAIR data principles, and
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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, 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
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for reaction-diffusion systems Enhancing the biophysical capabilities of the C++ framework Applying the framework to morphogenetic questions using real imaging data Running large-scale simulations on ETH’s HPC
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We are seeking an exceptional and highly motivated Postdoctoral Researcher to lead research on the in-hospital deployment of Large Language Models (LLMs). The focus of this position is the