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matter (or other “invisible” new physics signals) at the Large Hadron Collider (LHC) compare high-dimensional collision data against detailed simulations whose likelihood cannot be evaluated, only sampled
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Systems and Software Program (WASP ). You can find more information about us on the Department of Information Technology website. The position is hosted by the Division of Scientific Computing (TDB), one
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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The University of Gothenburg tackles society’s challenges with diverse knowledge. 58 000 students and 6800 employees make the university a large and inspiring place to work and study. Strong
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genomics and transcriptomics, antibody development based on phage display, large-scale mass spectrometry-based proteomics, and associated bioinformatics. The department is also responsible for several
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medicine and diagnostics, epidemiology and biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will
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are looking for an Industrial PhD Student to join an ambitious project focused on building foundational models of human biology using large-scale, multimodal data. In this role, you will work at the
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SciLifeLab community both locally in Uppsala and in Sweden at large. For information about the SciLifeLab fellow program, see https://www.scilifelab.se/research/#fellows . SciLifeLab Fellows are also part of a
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the BioImage Informatics team (https://www.scilifelab.se/units/bioimage-informatics/ ). This employment is funded through NBIS under the SciLifeLab and Wallenberg National Program for Data-Driven Life Science
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by developing data-driven approaches to identify and prioritize isoform-specific therapeutic targets, enabling a new level of precision in RNA-based treatments. The project will combine large-scale