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to improve the interpretation and matching of mass spectrometry data, a field in which Sweden holds a leading global position. To this end, the doctoral student will use and develop computational tools, and a
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omics. To achieve this, the doctoral student will use and develop both computational and laboratory-based tools. The doctoral student will need a background that includes experience with both some
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transformation and large green investments in northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition
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Troubleshoot experimental procedures and improve robustness and reproducibility Document experiments and manage data in a structured and reproducible manner Collaborate with experimental and computational team
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life science technologies with data and AI expertise. Computational methods and artificial intelligence applied to large-scale molecular data are transforming the study of biological systems at all
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School of Electrical Engineering and Computer Science at KTH Project description Third-cycle subject: Computer science This project involves generative modeling to address missingness in mass
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., drug inhibition or gene knockdown). However, building computational models of complex, large-scale, and incompletely understood systems remains extremely challenging. To address this issue, we recently
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, international, and outward-looking work environment located in the lively city of Gothenburg on the west-coast of Sweden. The position is funded by the fellowship scheme of the Wallenberg National Program for
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(SmT), spatial mass spectromety and CellScape in animal and plant tissues. In addition, the postdoctoral fellow will also apply single-cell multiomics. The postdoctoral projects will have a computational
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universities. SciLifeLab forms an internationally unique infrastructure and research community, bringing together groundbreaking life science technologies with data and AI expertise. Computational methods and