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funded German research initiative. Project Description: Carbon black is an indispensable component of numerous everyday products – from car tires and seals to paints and plastics. However, its production
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processing methods, mechanistic computer models and software tools and to use them in highly relevant clinical, biotechnological and pharmaceutical applications at the forefront of research. All projects
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) with at least one publication as lead author in a reputable international journal. Extensive experience in cell culture and molecular biology methods is expected. Beneficial would be experience in RNA
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Experience with modern molecular biological and biochemical methods (immunohistochemistry, RNAScope etc.), prior experience with behavioral tests/surgical procedures and analysis (i. e. DeepLabCut, Boris
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experience in any of the following research areas: Effects of land use, hydrology regulation, coastal development and other socioeconomic drivers on sediment, carbon, nutrient and other element fluxes in
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on disaster risk management and climate adaptation, using probilistic risk modelling, applied statistical methods to evaluate risk management and adaptation measures in the agricultural sector, mainly in low
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host chromatin pathways (DFG Research Unit DEEP-DV, FOR5200). The group uses experimental infection systems, an array of high-throughput sequencing methods (e.g., scRNA-seq, ChIP-seq, CUT&Tag, ATAC-Seq
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-party research funding are expected. We are particularly interested in a candidate in any field of economics who leverages state-of-the-art machine learning and causal inference methods to innovative
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of precursors in gram scale batches for thin film deposition of functional nanostructured materials Characterizing precursors via SC-XRD, NMR, FTIR, Thermal Analysis (TG-DTA) and other analytical methods Your
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, excellent expertise with topics covering either Earth's long-term climate and paleoenvironments, mountain building, sedimentary systems, digital and data-driven analysis methods, isotope geochemistry