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As part of the project "Digital Twin for Planning Under Uncertainty" , we are seeking a postdoctoral researcher to develop a digital twin aimed at enhancing the planning of OCP’s production activities
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conceive state-of-the-art imaging technologies and data analysis methods for high throughput quantification of plant traits in response to various stresses and cropping systems. This role is critical
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. The selected candidate will have to (i) develop independent research activities on the detection, quantification, and fate of airborne pesticides using advanced analytical techniques and (ii) develop a project
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bioengineering. Performing microbiological analyses to assess soil health and carbon sequestration (microbial biomass analysis, soil enzyme activity assays, microbial community profiling,quantification of soil
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weather events such as floods, droughts, and heatwaves, integrating probabilistic approaches to account for uncertainties. Use data assimilation techniques to combine observational data with AI models