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for local production, efficient resource use, and a high degree of mechanization. At the same time, the sector faces significant challenges, including labor shortages and increasing complexity in crop
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use, providing richer context and a more comprehensive analysis of current complex issues in society. If this fits your expertise and interests, the Interaction Division of Utrecht University is seeking
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pathways and systemic change across environmental, economic and social dimensions; apply approaches like network analysis and complementary systems-change-oriented methods to national-scale case studies
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Are you interested in advanced rheological characterization, microstructure analysis, and modelling of complex food systems? In this postdoctoral project, you will combine fundamental science with
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master levels and advancing research about the integration of cutting-edge AI and machine learning as tools to enhance the analysis, interpretation, and scalability of Remote Sensing data. The successful
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workers in law enforcement, public transport, service work, and health care. We are seeking a candidate who is interested in learning or already has experience with video analysis and ethnographic fieldwork
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Job description The Challenge As process industries transition to circular models, companies within Hubs for Circularity (H4C) need robust tools to navigate the financial complexities of industrial
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with analysis and contribute to policy. The position suits a researcher who combines rigorous quantitative skills, especially in the area of randomized control trials, with experience with complex
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for Circularity (H4C) need robust tools to navigate the financial complexities of industrial symbiosis. This project aims to bridge financial modelling, AI, simulation, and circular business model innovation
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field, with a strong track record in numerical modelling, mathematical analysis and the development of computational methods for complex systems Additional requirements In addition to your CV and your