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, biomolecular technology, biodiversity, drug development, and bioinformatics. A remarkable number of these groups are led by outstanding early-career scientists, including 21 SciLifeLab Fellows, 12 DDLS Fellows
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Lab (learn more at lab.winkler.site) at the Division of Micro- and Nanosystems. Our Lab develops microsystems for life science applications, including as part of the ERC-funded project CHIPzophrenia in
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to handle the massive amounts of data generated by novel high-throughput scMetaG methods. Here, the PhD student will develop novel bioinformatic methods and tools, which can be used to analyze massive amounts
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of large-scale DNA sequencing in molecular precision diagnostics within healthcare. This role is suited for someone with experience developing bioinformatics pipelines for large-scale sequencing data and who
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, aiming to create automated and AI-assisted microscopy workflows for large-scale human cell imaging and modeling. You will be responsible for developing and optimizing wet-lab and imaging protocols
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existing and emerging methods Support of CFG users in all aspects of data analysis and data handling Application and development of robust statistical approaches for hit calling and data interpretation
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member states to advance AI solutions, training, business and workforce development. Please read more: www.naiss.se , https://eurohpc ju.europa.eu/ai-factories_en . Main responsibilities As an application
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wide-ranging expertise and interests. Karolinska Institutet is one of the world’s leading medical universities. Our vision is to pursue the development of knowledge about life and to promote a better
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in multimodal imaging. Experience in machine learning is highly valued. You will support user-driven research projects and develop integrated data workflows spanning light microscopy (confocal, super
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SciLifeLab is currently in a strong phase of expansion and is investing in the development of advanced methods for the integrated analysis of biological systems. The platform is now recruiting three