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based hydrological modelling with observational data. The research involves setting up an integrated hydrological model that collects both vertical and lateral hydrological processes, from the atmosphere
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benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest in their growth. For more information, please visit Working at Utrecht University
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later validate the MPC tool using pilot-scale data. You will closely collaborate with an EngD student in this project. As PhD student in the SMARTIER project, you will: Develop a model predictive
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information about the Faculty of Science at https://www.universiteitleiden.nl/en/science/about-faculty-of-science . Leiden University is one of Europe’s leading international research universities. Thanks to
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information, see www.universiteitleiden.nl/en/science and https://www.universiteitleiden.nl/en/working-at . The Leiden Institute of Advanced Computer Science (LIACS) is the Artificial Intelligence and
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of the English language is expected to be at C1 level . Sometimes it is necessary to submit an internationally recognised Certificate of Proficiency in the English Language. More information can be found here . We offer
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1.5m buildings and 7m homes by 2050. Existing approaches in practice are too slow and inefficient to meet these targets. The PRE-MADONA project develops a game-changing solution that incorporates data
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incorporates data-driven methods to optimise large-scale renovation flows (Verbouwstromen). By bringing together contractors’ resources, clusters of buildings, and smart operations planning, PRE-MADONA
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interdisciplinary and qualitative empirical research and a sense of urgency for turning theory into practice and practice into theory in close collaboration with the research team and their partners. Information and
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their growth. For more information, please visit Working at Utrecht University external link . About us A better future for everyone. This ambition motivates our scientists in executing their leading research