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Previous Job Job Title Data Research Fellow (Rsch Pro 4-Stats Analysis) Next Job Apply for Job Job ID 372420 Location Twin Cities Job Family Research Full/Part Time Full-Time Regular/Temporary
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position: Postdoctoral Research Fellow for Large-Scale Longitudinal Data Analysis in Empirical Education Research (m/f/d, E13 TV-L1, 100%, for 3 years with potential of extension for 3 more years) We are
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(IDDSI) framework, with a specific focus on Level 5 (Minced & Moist). This role will involve designing custom test fixtures, conducting practical laboratory work, and performing data analysis to create a
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and conducting interviews; (b) demonstrated expertise in qualitative data analysis such as thematic/narrative analysis; (c) demonstrated competence in quantitative/statistical analysis, including
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expertise in biostatistics, bioinformatics, or computational biology. The successful candidate will join an interdisciplinary team developing novel statistical methods for multi-omics data analysis. Research
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mass spectrometry Hands-on use of a mass spectrometry instrument for biomolecular characterisation, data analysis and interpretation Bioinformatic data analysis using statistical software packages
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document reproducible bioinformatics workflows for high-throughput sequencing data processing, quality control, integrative analysis, and biological interpretation. Integrate genomic, transcriptomic
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cross–work package integration, particularly in developing tools for blue–green infrastructure policy and decision-making. Perform quantitative and qualitative data collection, analysis, and visualization
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motivated Research Fellow to join a collaborative, interdisciplinary team focused on statistical, computational, and integrative analysis of metabolomics and other omics data, with applications in
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spectroscopy studies on the measurements of carrier diffusion length. To perform data analysis and data interpretation of micro-transient optical spectroscopy experiments independently. To assist the principal