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-based genetic perturbations. Conduct phenotypic characterization using advanced live-imaging and quantitative image analysis. Generate and integrate molecular and metabolic datasets, including
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projects in the field of analytics and maintain an extensive network with universities, research institutes, industry partners, and federal authorities – both nationally and internationally. The training
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and analysis methods for realistic CO2 electrocatalysis, with a focus on parallel investigations and accelerated aging. Dissect degradation processes of CO2 electroreduction catalyst, electrodes, and
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analysis methods for realistic CO2 electrocatalysis, with a focus on parallel investigations and accelerated aging. Dissect degradation processes of CO2 electroreduction catalyst, electrodes, and ionomer
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advanced statistical analysis, pathway & network analysis, Integrating complex clinical, biological and molecular data. Contributing to data visualization, figure generation and interpretation
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processes, particularly in complex or technically challenging settings. To address these questions, the lab develops and applies new methods for metabolomics, lipidomics, and ¹³C metabolic flux analysis, as
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disappearing firn on mountain glaciers. The project also features a broad network of partners in Europe and Central Asia. The aim of this position is to implement improved parameterizations of albedo and
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electrophysiological recordings to track how tumor invasion alters neuronal network activity at single-cell and population levels Apply spatial transcriptomic techniques to map gene expression changes in tumor-connected
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or a related discipline. Demonstrated experience in planning and conducting fieldwork in freshwater ecosystems. Strong skills in data management, visualisation and quantitative analysis. Experience with