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of radar instruments, i.e. distributed SAR and near-nadir looking interferometric imager, to evaluate various fractionated space systems on their suitability as radar instruments, and to develop system
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to develop a physics-based rational approach to optimal parameter reconstruction from diffraction data from designer multiple scattering structures, designed for, e.g., measuring lithography performance in
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Bouffard (EAWAG), Prof. Dedmer van de Waal (NIOO-KNAW) and Dr. Mandy Velthuis (Wageningen University). Where to apply Website https://www.academictransfer.com/en/jobs/363355/phd-position-integrating-trait
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of coronary artery disease and supporting clinical decision-making during catheterization procedures. The project brings together cardiovascular imaging, generative AI, and computational modeling to develop
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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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on the interpretation of research findings and their strategic and policy implications, supporting evidence-based decision-making and capacity building. Contribute to WSER's strategic development strengthening market
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challenging at temperatures approaching 20 K. Develop new methods to reveal how aerospace materials deform and become damaged under cryogenic and dynamic loading. Your research will contribute to safer hydrogen
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Immune Therapy. The joint mission of research at Sanquin is to develop novel methods and approaches using blood cells and blood products to prevent, diagnose, treat, or cure disease in donors and patients
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for this role. You will develop, investigate and support technological applications that contribute to a circular and future-proof livestock sector. Combining applied research with systems analysis, you will work
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of repeatedly solving wave equations. In the project, we will develop a new mathematical and computational framework that combines PDE-based modelling with ideas from data-driven reduced-order modelling. The aim