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under cyclone and synoptic wind loads. Develop and calibrate statistical and physical models for wind-induced structural responses using extreme value analysis and experimental data integration. Prepare
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infrastructures. This will involve deploying IoT-enabled smart sensors with decentralized processing to stream high-frequency data into a BIM environment for immediate structural analysis. Advanced algo-rithms
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for analysis of the data you create. Your findings will be a vital part of understanding the evolution of cancer drug resistance in cell models and in patients. About you: You’re excited about our research
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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 10 days ago
have hands-on experience in crop genomics and managing genotyping data. You bring first experience with biostatistics methods, e.g. with mixed-models. You are familiar with data analysis using
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Forschungsinstitut für Nutztierbiologie (FBN) | Dummerstorf, Mecklenburg Vorpommern | Germany | 10 days ago
, climate, video) on different pasture sites Knowledge in the areas of experimental design and statistical data analysis Good written and spoken German and English language skills Driving license class B and
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21 Aug 2025 Job Information Organisation/Company GFZ Helmholtz Centre for Geosciences Research Field Environmental science Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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Your Job: The PhD project is methodologically independent, with the opportunity to contribute to collaborative efforts at the interface of data science, imaging, and materials research. You will
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, reproductive genetics, and mechanistic pathway analysis, and contribute to a project with direct relevance for future diagnostic tools and therapeutic approaches in human reproductive medicine. You will cover
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conditions chemical analysis of plant secondary metabolites using HPLC-MS and GC-MS protein isolation and characterization using LC-MS plant physiological measurements molecular biological investigations (e.g
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conditions chemical analysis of plant secondary metabolites using HPLC-MS and GC-MS protein isolation and characterization using LC-MS plant physiological measurements molecular biological investigations (e.g