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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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(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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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
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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
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or electrochemical characterization of materials or devices Experimental design and electrical characterization of device performance and associated data analysis Peer-reviewed publication as first or lead author