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relationships describing the emission, fate and effects of pollutants as a function of size. We intend to derive overarching scaling principles that apply across multiple disciplines, including hydrology
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motivated to advance trustworthy artificial intelligence in medical imaging? In this postdoctoral position, you will work on explainable AI and foundation models for CT imaging, combining methodological
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reporters or fluorophore-labeled antibodies. Finally, after succesful EM, you will work on segmentation, annotation and analysis of organelles in endothelial cells. We will train a convolutional neural
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; develop the statistical analysis plan; perform statistical analyses on the associations of air pollution and heat with asthma and lung function, using standard methods (e.g. discrete-time hazard models
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within health and environment. Strong analytical skills and the ability to work across disciplinary boundaries Affinity with qualitative and participatory research methods (e.g. policy analysis
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projects in a broad area of quantitative proteomics, including plasma proteomics, glycoproteomics and PTM analysis. You will work in a collaborative environment within the BioMS group, liaising with the PIs
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. Your research will uncover how adaptation professionals navigate this tension — and what strategies actually work. You will be embedded in the TASICI project (Transformative Adaptation Strategies
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intensively collaborate with the two PhD candidates already appointed within the project. This is what you are going to do As the Postdoctoral researcher for Work Package 3, you will be appointed
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Quantifying Synaptic Nanostructure–Function Relationships in Defined Neural
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trade-off and scenario analyses? Then this may be the perfect postdoc position for you! As Postdoctoral Researcher in Scaling Soil Moisture Retention (SMR) Practices you will play a key role in the