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with flow modelling for applications in industrial wind tunnels for the aerospace sector and oversee the application of helium-filled soap bubbles as flow tracers up to the supersonic regime. Job
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on clinically relevant topics? If yes, then Maastricht University has a new challenge for you! Postdoc Position Data Science and Artificial Intelligence in Cardiac Electrophysiology Our goal: the development
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for support in technology development. You will work closely with a PhD researcher at the German partner who focuses on the underlying machine learning models, and you will help coordinate the joint work across
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36-month postdoc project aims to test whether targeting the aminopeptidase ERAP2 can tackle EBV infection in Multiple Sclerosis (MS), and is a joint effort of our group at the Department
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Challenge: Predict long-term cardiac growth and remodeling in cardiovascular disease. Change: Develop multi-scale mechanobiological models for virtual human twins. Impact: Advance patient-specific
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of the in- house Talos Arctica electron microscope, which will be upgraded with a new camera through the ERC-funded investment. Overall, the postdoc will contribute to a mechanistic model explaining how
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description ACT! is seeking a postdoc to develop practical tools for assessing
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themselves. In this project, you will investigate whether and how large offshore wind farms influence precipitation. Using high-resolution numerical modeling, you will examine the physical mechanisms through
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Are you interested in the empirical foundations of flood damage modelling and keen to translate that knowledge into practical strategies for insurers to reduce losses through early warning and
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, particularly artificial neural networks, and deep learning? And you would like to continue your research on clinically relevant topics? If yes, then Maastricht University has a new challenge for you! Postdoc