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) using a novel cell culture model. The postdoc will work on a comprehensive translational research program combining advanced human iPSC-derived co-culture models, spatial transcriptomics and proteomics
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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to large-scale energy storage systems. Despite their widespread use, these batteries are subject to complex and interconnected degradation processes that can significantly impact performance and lifetime
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Job Description Are you passionate about computational modelling and elastomeric materials? We are looking for a Postdoc to develop and apply state-of-the-art models for elastomeric materials and
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to transform the entire structure and functioning of Arctic coastal marine ecosystems. CIFAR is a research center that aims to unravel how the complex interplay between ice melt, runoff and ice formation across
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, preferably involving squeezed light, coherent detection, or continuous-variable systems. Strong experimental and problem-solving skills, including the ability to debug complex optical/electronic systems
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-acting sensing of supply and demand, facilitate optimal operation of transport services, and advances learning and evolution in complex environments. The project focuses on six thematic mobility management
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complex droplet flow patterns and the relations with the chemistry. One successful theory for optimization of surfactant impact and blends is the hydrophilic-lipophilic deviation balance. This enables us to
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Postdoc position to support international research and capacity-building projects employing elect...
Imaging of Groundwater in Complex Ethiopian Geological Settings (2025–2028)”, implemented in partnership with the Ethiopian Ministry of Water and Energy (MoWE) and Addis Ababa University (AAU). Job
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that pose serious ecological and health risks. Their low concentration and complex behavior make experimental analyses challenging. Developing reliable predictive models is essential to reduce the reliance