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of Economics and Business The Faculty of Economics and Business offers an inspiring study and working environment for students and employees. International accreditation enables the Faculty to assess performance
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for infrastructure and building owners and contractors - who will be jointly planning clusters renovation processes in larger urban spaces. As part of your project, you also address planning data exchange, which mean
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for digitally transforming renovation processes, you will design governance structures to guide the implementation and upscaling of PRE-MADONA's envisaged digital ecosystem. As part of your project, you will
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of Economics and Business The Faculty of Economics and Business offers an inspiring study and working environment for students and employees. International accreditation enables the Faculty to assess performance
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opportunity structures for social interactions can serve as proxies for social networks and how they impact health. Your work will contribute to a groundbreaking methodological framework for modeling social
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, retention ponds) and assess the impacts of water management measures and land-use changes on soil moisture, evapotranspiration, groundwater, and surface water under varying climate conditions, identifying
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to Portugal for fieldwork. Key Responsibilities: Taking a leading role in organizing, conducting, and participating in field campaigns in Portugal, including excavations, pedestrian surveys, geophysical and
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that incorporates all steps of hydrogen generation/purification from sustainable sources and ammonia synthesis in a single device. The PhD project will be part of the OASYS project funded by NWO in the context
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to the renovation flow. You will be part of a team comprising three PhD researchers who are dedicated to the PRE-MADONA project. Together, you work in a multidisciplinary project with through leaders in the domain
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Organisation Job description We are seeking a candidate for a PhD project on the philosophical aspects of data science and data science use, with specific attention for the use of data science