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samples, lack of training data and sample variability. In this project we aim to develop AI/ML workflows for improved quantitative analysis of LNPs. Your responsibilities will include optimisation of data
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on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
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research group funded by the Data-driven Life Science Fellows (DDLS) program. Led by Wei Ouyang, the group builds next-generation AI systems for cell and molecular biology. Data-driven Life Science Fellows
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postdoctoral in Biological Data Systems to develop scalable data infrastructure and computational systems for large biological datasets. The position will be embedded within the Human Protein Atlas at KTH and
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Do you want to contribute to improving human health? Description of the research group Alpha Cell is a new SciLifeLab strategic program aimed at building the first molecular-level computational
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candidate will be part of the dynamic SciLifeLab community, both locally in Uppsala and across Sweden as a whole. For information on the SciLifeLab Fellow programme, see https://www.scilifelab.se/contact
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global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally
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research environments in Computational Science, the research and education has a unique breadth, with large activities in areas such as numerical analysis, mathematical modelling, development and analysis
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and variation. The successful candidate will develop innovative methods and models to advance our understanding of genome evolution and variation. The position is based in the Computational Genomics
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health, and will involve close interaction with researchers from both computational and biomedical disciplines. In addition to the core project, the successful candidate will have opportunities to develop