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project Imaging flow cytometry is a state-of-the-art quantitative flow-based image analysis technique. The combination of fluorescence microscopy and flow cytometry enables high-throughput imaging of cells
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(RTP) by metal-free compounds and double thermally activated delayed fluorescence (TADF) from single molecules. Work assignments The proposed postdoc project among others will include computational
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particular, this holds for the principles of electroluminescence of OLEDs based on luminescence by radicals, room temperature phosphorescence (RTP) by metal-free compounds and double thermally activated
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analyses of environmental variables relevant to the department's activities (including the entire measurement chain from sample collection to data analysis) is a requirement. Documented skill in leading and
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analysis. You should possess excellent analytical skills, a genuine interest in interdisciplinary research, and the ability to work both independently and as part of a team. You are expected to have good
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application! The position The principal research engineer will lead independent research projects focused on the integration and analysis of multi-omics data from clinical and population cohorts. Using data
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efficiency, flexibility, and sustainability. Within this research project, Linköping University is collaborating with leading industrial companies to develop digital analysis and decision-support tools
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: Quality of the master degree in a relevant area Written and oral proficiency in English Capacity for analytical thinking and quantitative analysis Ability to work independently, to take initiative and be
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-driven precision medicine and diagnostics. Data-driven precision medicine and diagnostics cover data integration, analysis, visualization, and data interpretation for patient stratification, discovery
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analysis, work with large language models, network analysis, causal inference in machine learning and agent-based modelling. Experience in collecting, curating and analyzing large digital datasets with