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perform experiments, followed by the analysis, interpretation and reporting of data and results. Communicate and interact with the research group, as well as with collaboration partners from academia and
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to this training component, which includes training on the job in assisting in the Bachelor's and Master's programmes of the department. Your qualities You have an MSc degree in hydrology, water resources management
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the computational component of the project. You will collaborate closely with the principal investigator, two PhD candidates (working in psycholinguistics and cognitive science) and one postdoctoral researcher
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skills in data analysis and statistics (preferably in R); Demonstrated ability to publish in peer-reviewed international journals; Strong organizational skills and the ability to work independently as
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integrated into the analysis of integrated assessment models (IAMs), which are used to support policymakers in designing effective climate strategies. In this PhD project, you will work on improving
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critical metal. The PhD student will explore the geochemical behaviour of lithium in the Earth's crust as a function of variables such as composition, temperature, pressure and oxygen fugacity. The candidate
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beyond which the climate system may shift abruptly and potentially irreversibly. These processes are not yet fully integrated into the analysis of integrated assessment models (IAMs), which are used
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of larval zebrafish. Data analysis: analyze whole‑brain calcium imaging recordings. Spatially resolved molecular methods: apply expansion microscopy (ExM) adapted for spatial transcriptomics to identify
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objectives. About 20% of your time will be dedicated to this training component, which includes following courses and/or workshops (some of which are mandatory), as well as training on the job in assisting in
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the analysis of primary material. We will aim for smooth integration of the experimental workflows and data analysis to address clinically relevant biological question in cancer immunology. We aim