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development and high-performance computing. The division is currently in an expansive phase in new emerging areas such as cloud and fog computing, data science, and artificial intelligence, where it plays key
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of image analysis pipelines on local and national high-performance computing resources in collaboration with NBIS, the SciLifeLab Data Centre, and DDLS fellows. Contribute to data stewardship by supporting
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Perform in-depth analysis of complex spatial transcriptomics / In situ sequencing datasets using established computational frameworks Ensure data management practices align with the FAIR (Findable
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. NAISS, the National Academic Infrastructure for Supercomputing in Sweden, provides academic users with high-performance computing resources, storage capacity, and data services. NAISS is hosted by
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Knowledge of tissue segmentation, spatial registration, or histology-based data alignment Familiarity with high-performance computing environments or cloud-based data analysis platforms About the employment
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Do you want to contribute to top quality medical research? Computational methods and AI applied to large-scale molecular data are transforming biology – from molecular structures and cellular
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of large amounts of imaging data Communicate with other data generating platforms within the SciLifeLabs Integrated Data Service program Collaborate with national high-performance computing (HPC) resources
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Do you want to contribute to top quality medical research? Computational methods and AI applied to large-scale molecular data are transforming biology – from molecular structures and cellular
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management, high-performance computing systems, GPU acceleration, and parallel file systems * Documented experience with container and cloud technologies such as Docker, Helm, and Kubernetes * Ability
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, the Faculty of Science and the regional university healthcare, within a broad range of medical topics and disease areas, as well as cutting-edge infrastructures , high-capacity computational resources