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Field
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insight provided by the experimenter, using methods such as Proper Orthogonal Decomposition (POD) [8], spectral analysis, or Dynamic Mode Decomposition (DMD) [9]—which are currently being implemented in
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multiple lines of treatment for more than 1000 patients have been collected. Multiple samples derived datasets have and are being generated, including genomic DNA analysis, serum proteomics, peripheral blood
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biomaterials, (9) Data-driven materials development, and (10) Advanced materials analysis technology. R26-01 Materials Science R26-02 Materials Science (for women) - Researcher [Field specified]: one position
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. The duties include, among other things: planning and conducting experimental studies of catalytic processes under operando conditions developing and applying experimental methods for surface analysis and gas
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quantification and mapping of the high-dimensional correlation structure across multiple traits, quantification of trait variation that arises from new mutations, development and applications of analysis methods
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visualization techniques and microPIV for validation of the numerical simulations (CFD). The selected researcher may also provide possible collaboration in teaching and training activities in the area of research
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quantitative and population genetics; good knowledge and practical skills in genetic and genomic analysis (both, marker data and sequence data), phenology and plant pathology; a sound understanding of
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modeling, environmental simulations, and digital twin systems. -Develop analytical tools, visualization platforms, and decision-support dashboards to improve research outcomes. -Ensure data quality through
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(written/spoken) at A1 level 2) Technical Skills - Strong technical proficiency - Hands-on experience with NMR spectroscopy techniques - Proficiency in statistical analysis - Knowledge of and compliance with
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, Environment, Science or Data Analysis, Statistics, Computer Science, Mathematics, Biology or related fields; Sense of responsibility and ability to communicate and integrate into multidisciplinary work teams