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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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, climate physics, geosciences or a related field; excellent skills in scientific programming and numerical / statistical analysis of simulated and observed data; a versatile mind and openness to work on a
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international networks that are useful for this position; Article 9 certified (legal qualified to perform animal experiments) is a plus; Experience in analytical chemistry, ISO17025, statistics and data analysis
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-modal prior information Job description The project is part of the IMAGINE open innovation lab (https://research.umcutrecht.nl/news/imagine-takes-off/ ), and aims to develop novel computational methods
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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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PhD candidates will be jointly responsible for designing and setting up the studies, recruiting participants, acquiring and analysing data, and publishing the results in peer-reviewed journals. You will
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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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the physical and biological pumps during rapid climate transitions (e.g., the last glacial period and Holocene) using sediment records. Our data will be used in marine carbon cycle models to predict
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to additional employee 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
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on global and regional temperature. However, so far, such model-data comparisons chronically suffer from a lack of field data describing regional and seasonal hydrological regimes under past warm climates