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, laboratory reports, structured test results, species identifications, susceptibility profiles, interpretative comments, and registry-linked outcome data. In this project, you will develop and apply AI-based
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processing, computer vision, machine learning, deep learning and neural networks, as well as courses in python, GPU programming, mathematical modeling and statistics, or equivalent. The University may permit
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, spatially aware QC, normalization, cell segmentation integrating H&E imaging and transcript density, and spatial domain identification Single-nucleus integration and annotation: large-scale multi-sample batch
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methods for understanding biological form, function, and evolution. The project combines computer vision, machine learning, genomics, and biomechanics, and involves large-scale multimodal datasets including
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to demonstrate documented proficiency in English. You have knowledge and expertise in computer vision and/or medical image analysis, deep learning as well as mathematics. You have substantial expertise in
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UNIX filesystems from the command line, working in conda environment, installation and implementation of packages from github, batch job submissions in clusters Further details The position is funded
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independently. Merits: Education or training in computer vision, machine learning, deep learning, bioinformatics, advanced microscopy, cell biology, or RNA biology. Education in mathematical statistics
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analyses, version control) is an advantage We attach great importance to personal qualities in this recruitment. As a person, you are analytical, structured, detail-oriented, and committed to high-quality
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research staff of 180, of which 65 are PhD students. More information about us, please visit: the Department of Molecular Biosciences, the Wenner-Gren Institute . Project description Metabolic control