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systems. Key responsibilities Develop modeling tools to assess the environmental and socio-economic sustainability of industrial supply chains and processing technologies. Implement optimization models and
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and carry out experimental tests on saline rock related to the interaction between creep and fracture for the validation of the constitutive numerical models under development. Functions to be developed
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modelling processes and products. Analysing and interpreting environmental impact results. Preparing scientific publications, technical reports and project deliverables. Collaborating in national and European
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performance. Microbial community analysis. Modelling of the anaerobic digestion process. Communicate and disseminate research results through high-quality scientific channels including high impact scientific
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and storage conditions. Variations in environmental factors such as temperature, humidity and gas composition strongly influence physiological processes and deterioration dynamics, contributing
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, geography, sociology, political science, Science and Technology Studies (STS), applied economics, environmental social sciences, or related fields. Strong competence in quantitative data analysis using R
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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well suited include soil science, agronomy, plant or environmental sciences. Experience in areas such as bioinformatics, image analysis, statistics, or modelling applied to plant-soil systems would be
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sensor data, environmental data, historical datasets, and biological knowledge) within the context of food safety, with attention to data integrity and their potential use in supporting decision-making
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processing. In addition, the postdoctoral researcher will be responsible for processing and analysing complex fNIRS data, as well as related behavioural and observational data, and developing methods to model