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methods of soil characterization, monitoring and management, Organization of field campaigns, data collection and lab work, Spectral data analysis, data processing, and model development, ‘R’, Python
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for large scale on-farm experiments with the components of biochemical analysis of precursors of soil carbon sequestration and nutrient cycling Analyzing and developing models for quantifying carbon
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an exciting opportunity to contribute to advancing our understanding of microbial communities in soil ecosystems and their roles in nutrient cycling, soil health, and environmental sustainability. Job
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that regard, there is an urgent need to double the ongoing efforts for developing innovative and sustainable solutions to increase crop production. Hence, exploring the diversity and functioning of soil
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quality, biotic interactions, and ecophysiological properties. Responsibilities: Supervise fieldwork, including floristic surveys, soil sampling, and ecological data collection. Conduct advanced analyses
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, and TCLP to assess reprocessing and environmental remediation potential. Develop and interpret 3D block models using advanced geological modeling tools such as Datamine software, Leapfrog Geo and Surfer
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the different facets of hydrocarbon reservoir systems, interpreting seismic data, and applying structural geology and geomechanics principles. An experience in numerical modelling and/or petrophysics would be
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Position Title: Postdoctoral researcher – Plant ecology and soil–plant interactions in
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their expertise to advance predictive maintenance systems using AI tools. Key Responsibilities: Conduct innovative research on the application of Large Language Models (LLMs) to predictive maintenance challenges
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innovative and efficient sensing platforms using advanced manufacturing techniques and strategies. The sensor platforms will leverage miniaturized, low-cost, and efficient components, utilizing state