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the following areas. You have a background in tissue-based molecular research and experience with tissue sectioning and the generation and analysis of spatial molecular data. Programming expertise in Python and R
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to specifically the area of measurements, analysis, and documentation of the GHGs (CO2 and CH4) from peatland established with sphagnum moss under controlled hydrology. After some years the upper part of the living
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disease and dietary interventions is required, while experience with sequence-based analysis of bacterial communities and chemical characterization of microbial metabolites (e.g. LC-MS/MS) is considered a
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methods, including UAV-based landscape mapping, terrestrial and freshwater eDNA, passive acoustic and camera monitoring, and novel sensor and logger networks for real-time analysis of greenhouse gas
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methods, including UAV-based landscape mapping, terrestrial and freshwater eDNA, passive acoustic and camera monitoring, and novel sensor and logger networks for real-time analysis of greenhouse gas
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outlets, social media platforms, and individual news diets, drawing on, among other data sources, data donations from individuals and automated content analyses. SP2 will examine how people perceive and
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with bioinformatics tools and software for data analysis (e.g. Seurat, SquidPy, Bioconductor). Strong understanding of statistical methods and data visualization techniques. Familiarity with spatial
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-field NMR instruments. Strong data analysis skills for interpreting metabolic NMR datasets. Knowledge of stable isotope tracing and metabolic flux analysis. Excellent communication and teamwork skills
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. We expect applicants to hold a PhD in a relevant field such as techno-anthropology, science and technology studies, human-computer interaction, human-robot interaction, digital health, anthropology
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directions. In the first, you will work with market-driven optimal dispatch of coupled electricity–cooling systems. This includes: Modelling, analysis, and optimization of flexible cooling assets and