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interdisciplinary team working at the interface of bioinformatics, cancer biology, and clinical oncology, with access to unique patient cohorts and multi-modal data. Your job responsibilities As Postdoc in
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-of-the-art techniques in extrusion, food structuring and multi-omic data. We also offer a great mentoring experience, a collaborative environment in which the candidate will be able to share across subfields
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analysis, surveys, or other data-driven approaches strong interdisciplinary orientation and capacity to collaborate across the digital humanities, computational linguistics, media studies, or cognitive
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of intracellular uptake and endosomal escape. Analyzing and interpreting data, preparing research reports, and ensuring thorough documentation. Playing a key role in coordinating collaborations with external
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using mouse models for neurodevelopmental disorders and brain inflammation. Run spatial omics approach including multiplexed protein imaging and transcriptomics. Collect and analyze data from genome-wide
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main tasks will consist of: Independent research of high international quality, including publication. Analyzing sequencing data (e.g., scRNA-seq, snRNA-seq and spatial transcriptomics) from various
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work of the research group, it will include elements of method development within sample preparation, instrumental and data analysis, quality assurance/control and semi-quantification, in the context
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collegial work environment. Further information The application must be uploaded in English. Deadline: 1 September 2025. For further information about the positions, please contact Professor Rubina Raja
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. Join us at the Department of Electrical and Computer Engineering, Aarhus University, where we are developing semantic-aware communication that leverage edge AI, semantic reasoning, and efficient time
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advanced contextual spatial and temporal modelling approaches. You will work on combining multi-source data such as field observations, laboratory measurements, environmental data, and drone- and satellite