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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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, and analysis of data from psychophysical experiments on touch and pain Design, acquisition, and analysis of data from cognitive measures Design, acquisition and analysis of data from single-unit
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in both wet lab work and bioinformatics analysis of Oxford Nanopore long-read sequencing data related to X-linked diseases. Skilled in proteomic methods using MALDI-TOF and HPLC-MS, including data
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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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these may be taken into consideration. The applicant must hold a PhD in Pediatrics or a related field. As an applicant, you are expected to: Have experience in the analysis of multiomics data and Olink
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these may be taken into consideration. The applicant must hold a PhD in bioinformatics or a related field. As an applicant, you are expected to: Have experience in the analysis of multiomics data and
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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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theoretical analysis, implementation of methods in computer codes, use of state-of-the-art high-performance computers in Sweden and in Europe, application of machine-learning and AI techniques, and
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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