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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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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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provide intuitive, human-interpretable explanations for complex model predictions derived from Earth Observation data, including high-resolution satellite and aerial imagery. You will engage in a
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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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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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will collect ego-centric network data using a novel visualized network-data collection tool specifically designed to survey complex personal networks. Objective 2: examining the effect of recognizing
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dune datasets along the Dutch coast. Using remote sensing, you will create a national dune vegetation dataset and compare it with dune morphology data to assess the role of vegetation in decadal dune
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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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://kdvi.uva.nl/research/discrete-mathematics-and-quantum-information/discrete-mathematics-and-quantum-information.html#Academic-Staff Silke Henkes -- https://www.universiteitleiden.nl/en/science/physics/biological
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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