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across 4 institutes and 7 research units. Doctoral students are enrolled at the University of Montpellier or the Institut Mines Telecom . The school works in close collaboration with the University
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Leibniz-Institute for Plant Genetics and Crop Plant Research | Neu Seeland, Brandenburg | Germany | 7 days ago
natural genetic diversity from wild relatives and improve barley resilience and breeding efficiency. Your tasks: In silico allele mining: Screen natural genetic variation in meiosis-related genes using
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relatives and improve barley resilience and breeding efficiency. Your tasks: In silico allele mining: Screen natural genetic variation in meiosis-related genes using genomic datasets, predict structural
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degree in architectural engineering, civil engineering or a related field. Candidates with experience in areas such as building performance simulation, environmental sensing, data mining, and statistics
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contemporain, Musée d’Art et d’industrie, Musée de la Mine). The consortium, resolutely open, is built on an ambition of academic and cultural influence. The scientific direction is led by Anne Damon-Guillot
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‑mining and machine‑learning methods. The expected scientific outcome is to establish guidelines for identifying and optimizing promising electrolyte materials and to support the development of future
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unresolved issue: how the interaction between humans and technology in safety-critical maintenance work affects risk and productivity in the Swedish mining industry. Effective maintenance is the foundation
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functional dark matter, offering an unprecedented view of the molecular tricks used by the microbial world. The ERC MicroMet team, led by Dr. Tristan Wagner (https://www.ibs.fr/en/research/assembly-dynamics
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of this PhD project is to analyze the various epistemic, economic, legal, political, and social dimensions of acceptance related to brine mining projects, using established qualitative and quantitative methods
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protection regulations. The grant holder will also participate in the systematic mapping of digital health literacy resources, using data mining and web scraping techniques to collect and categorize content