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data on our dedicated high-security compute cluster Miarka at UPPMAX, as well as on local servers. Automation of data handling and integrating systems for laboratory tracking (samples, steps, reagents
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program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes
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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
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and evaluation of novel treatment strategies and application of computational approaches to analyse omics data. Our experimental and translational studies are carried out in close collaboration with
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-performance computing. SLU provides access to extensive datasets that can be used to develop machine learning methods and automated analyses relevant to the position. Long-term datasets are available from, i.a
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for the PLP Strategic Area. Key responsibilities may include: Contributing to the overall scientific direction and strategic development of the PLP program, including developing a long-term vision from
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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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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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the Human Evolution research program. The Ancient DNA unit is a team that includes staff from the Centre for Palaeogenetics (CPG), part of Stockholm University and the Swedish Museum of Natural History
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to development activities in international projects regarding the management of genomics data and medical informatics where NBIS is active, in order to realize the visions of the 1+MG initiative (e.g., European