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experimental methods, as current technology only facilitates static imaging. As a PhD student at TU Delft, you will develop the methods to bring about a step change in dynamic imaging of biomolecular processes
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at Bachelor’s and Master’s level Good knowledge of written and spoken English Previous programming experience is highly advantageous Some prior knowledge about MRI or medical image processing is desirable but not
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on Applying your background in physics, electrical engineering, or signal processing to implement novel detection schemes that improve signal collection. Creating better images by detecting and preventing
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Postdoc EUROGUARD: European Goal Based Multi Mission Autonomous Naval Reference Platform Development
state-of-the-art and innovative technologies to study, design, prototype and demonstrate the viability of a versatile medium-sized semi-autonomous surface (MSAS) naval vessel. In addition, the MSAS will
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environment, measurement speed, accuracy, resolution, or the computer control systems. In addition, you will take the lead in developing the new cold neutron capabilities of FISH, enabling novel imaging methods
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state-of-the-art and innovative technologies to study, design, prototype and demonstrate the viability of a versatile medium-sized semi-autonomous surface (MSAS) naval vessel. In addition, the MSAS will
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of researchers at the interface of mechanobiology, imaging physics, computer vision, and cardiothoracic modeling. Your research will be part of a greater and exciting effort aimed at the development of predictive
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: Objective: Research and develop theoretical foundations for applying quantum computing to classical data management problems. Design and prototype innovative software solutions. Candidate Profile: We seek a
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of batteries and other devices enabling the energy transition, but also the handling of waste slurries and the recycling of critical materials. Furthermore, suspension flows are encountered in natural processes
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you will obtain a detailed image of the brain processing and unravel features determining individual differences in BCI task performance. By employing a combination of structural MRI, EEG, and eye