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. The MACS group offers a stimulating atmosphere with regular discussions, opportunities for collaboration, and access to expertise in numerical analysis, dynamical systems, and high-performance computing
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transcriptomic analysis, multi-omic integration, and interpretation of developmental datasets. Depending on your profile, the balance between wet-lab and computational work can be adjusted within the scope
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++), including experience with scientific computing and machine learning libraries and high-performance computing. You have experience with image analysis or computational imaging, ideally in the context
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sensitive to researchers’ needs and constraints? You will be part of a project that addresses these questions by combining policy analysis, behavioral research, and stakeholder co-creation. You will map
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semantic integration, combining a high-powered preregistered fMRI replication study, functional connectivity analyses, and a preregistered meta-analysis of the neuroimaging literature. The intended starting
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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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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