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Human cognition is highly adaptive and can reason flexibly with new information. A crucial element for this is our working memory: a quick, reliable, and flexible system to maintain information
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nature-based solution, for climate change adaptation, biodiversity gain, and other ecosystem services to people. Key responsibilities: Analyse biodiversity data of birds, plants and insects from newly
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climate data to study occurrence of tundra fires and subsequent regreening across climatic gradients; Remote fieldwork in fire-affected and pristine tundra in the Sisimiut – Kangerlussuaq region, in
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bottom-up approaches for investigating the mechanisms of chaperone-mediated protein folding. Your responsibilities will include: conducting independent experimental work and perform data analysis
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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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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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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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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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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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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