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, including time series analysis and statistics (e.g. mixed effects modelling) Capacity to develop computer code and experience with programming languages (Matlab, Python, R) and geospatial tools (e.g. ArcGIS
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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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. 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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projects in data-driven nutrition, such as: statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and health data analysis of omics data (metabolomics, proteomics, microbiome
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of peptide-nanocellulose hydrogels and the analysis and publication of the scientific results. The following tasks are included in the employment: Peptide design, synthesis and characterization In vitro cell