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and complex information spaces, for example in biochemistry, humanities, or software engineering. Our vision is to attack the big data challenge by a combination of human-centered data analysis and
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evaluated on downstream tasks in recognition, segmentation, translation and retrieval. You will work with large multilingual datasets as well as unique Swedish sign language data through our collaboration
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treatment. Develop methods and models that can predict the course of the disease by analyzing detailed data on the immune system and metabolism. We are conducting a large study, the CoVUm study, involving 579
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checks. Both parts are meant to support data-driven computational modeling for applications in epidemics. For a further description of the proposed project, see this document. The Department
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) and combines dietary data, urinary biomarkers, and large-scale metabolomics to generate new insights into the association between dietary sugar and sweeteners and disease risk. You will integrate self
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is close. Our cohesive campuses make it easy to meet, work together and exchange knowledge, which promotes a dynamic and open culture. The ongoing societal transformation and large green investments in
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) Experience in data processing, statistical analysis, and scripting in R Practical experience with laboratory animal experiments and/or with large-scale studies of animals in the field Assessment criteria and
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10 Oct 2025 Job Information Organisation/Company Mälardalens universitet Research Field Engineering Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 29 Oct 2025 - 12
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analysis and visualization of typically large and complex information spaces, for example in biochemistry, humanities, or software engineering. Our vision is to attack the big data challenge by a combination
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. Responsibilities include processing large-scale sequencing data, developing and benchmarking methods for splicing and regulatory network inference, integrating multimodal data with clinical information