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for Infection Research) in Braunschweig. The research should focus on the systematics and evolution of microorganisms, as well as on the integration of big data methods, comparative genomics, modern
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of detailed electrical data and optical emission information. Cathodoluminescence measurements. Since degradation experiments typically extend over one week or longer, all measurements are performed in a fully
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Pathogens, a WHO Collaborating Centre, and a member of the Leibniz Research Association. The Computational Infection Biology Department, led by Thomas Otto, is seeking a highly motivated PhD Student (in data
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good methodological knowledge in the field of quantitative empirical social research and confident use of statistical programs (preferably Stata) Experience in questionnaire design and data collection as
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potential data users, including those involved in National Research Data Infrastructures (NFDIs ), to identify data security needs and opportunities. You will be able to apply your skills in handling large
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bioinformatics, systems biology, synthetic biology, biotechnology or related disciplines. Knowledge in automated workflows for (large) data analysis, using Galaxy or similar tools. Experience in the automated
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mining. In-depth knowledge of the design, analysis and implementation of algorithms for large text corpora, including efficient data pipelines and clean experimental design. Strong NLP skills for semantic
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. Within this project, work package 1 focuses on the resilience of the marine sinks of heat and carbon, using Earth system and biogeochemical models, observational data, and scenario analysis to identify
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insights from evolutionary biology, political science, and computational social science. Your tasks and duties Supporting researchers with tasks such as literature reviews, empirical data collection
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these, Nucleotide-binding, Leucine-rich-Repeat proteins (NLRs) constitute a large family of intracellular receptors of pathogen-associated molecules, termed effectors. To restrict infection, NLRs trigger a response