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                fellow in Data-driven Precision Medicine and Diagnostics Data-driven precision medicine and diagnosticscover data integration, analysis, visualization, and data interpretation for patient stratification 
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                cytometry, FACS, and qPCR for quantifying infection; as well as statistical analysis. You are also likely to use CRISPR/Cas9 technology, CLIP assay, co-immunoprecipitation, and other biochemical methods 
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                at least 30 credits must be at the advanced (master's) level. Courses in statistical analysis, quantitative methods, or mathematical modelling obtained outside these subject areas may also be included 
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                -of-fine-arts/ . The Academy of Fine Arts has a wide range of workshops such as plaster, wax, printmaking, metal, wood, and clay workshops, as well as a foundry, photo lab, and sound studio. The workshops 
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                to the research project at hand, having very good skills in discourse analysis, as well as an orientation in digital politics, are key requirements. Since the research will be conducted in an international and 
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                . Importance will also be placed on experience of qualitative methods for data collection and analysis. Given the character of the research project importance will also be placed on good knowledge of both 
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                experiments, samples from world-unique CO2 experiments, cutting-edge NMR spectroscopy and isotopomer analysis (doi 10.1111/nph.20358). Two postdocs will work together to conduct plant ecophysiology experiments 
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                to teach a wide spectrum of entry level courses in English in, among others, programming, algorithmic problem solving, data structures, programming languages, and the analysis of algorithms. The applicant 
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                time for two years starting at January 2026, or according to agreement. The core work responsibilities include compilation and analysis of metagenomic data in clinical translational projects