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collaborators and strong access to compute through national GPU systems (NAISS, e.g. Berzelius and Arrhenius) and local GPU infrastructure. Project description The position offers significant scientific freedom
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experiment at CERN. Together, the groups offer an international environment with a wide network of collaborators, generous support for conference travel, and access to national HPC resources (NAISS) and local
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methods are developed in parallel, the postdoc will develop systems and services that make biological data accessible to AI and computational tools, collaborating closely with the Human Protein Atlas (HPA
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Ouyang’s AICell Lab at KTH and SciLifeLab, and the Human Protein Atlas , and has access to state-of-the-art computational infrastructure, including the Berzelius supercomputer. Your mission The emphasis
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for single-nucleus RNA sequencing and chromatin accessibility assays Systematically evaluate and improve data quality, signal-to-noise ratios and reproducibility in experimental workflows Identify critical