5 digital-image-processing Postdoctoral positions at Delft University of Technology (TU Delft)
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and implement novel computational strategies that combine physics-based modeling, optimization techniques, and machine learning approaches to improve cryo-ET image processing workflows. This includes
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or different stages in a dynamic process. In this PostDoc project, our aim is to visualize the life-cycle of Weibel-Palade Bodies (WPBs) in the context of disease using multi-beam EM (FAST-EM) with correlative
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digital mission engineering and actively contribute to critical space missions and advance future space instrumentation. The position will require you to closely work with Axient Systems B.V. and contribute
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approaches will involve the use of helium-filled soap bubbles as flow tracers, combined with multi-directional imaging and illumination for omni-directional flow measurements. These elements form the basis
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scientific development of design tools and assessment frameworks that enable circularity in durable aerospace components. You will generate insights that directly inform the design process in other work