105 phd-in-architecture-interior-design-built-environment Postdoctoral positions in Netherlands
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- University of Groningen
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Field
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Location ESTEC, Noordwijk, Netherlands Our team and mission The Guidance, Navigation and Control (GNC) Systems Architecture Section provides functional support to ESA projects in the technical field
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for cognitive science and artificial intelligence, including about 35 PhD students. Core research domains include cognitive science, machine learning, deep learning, games, virtual reality, computational
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on two current ongoing PhD projects, design and test methods that selectively stimulate flatfish to emerge from the sediment, facilitating their capture in the net. Together, the two Postdocs will develop
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of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It
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techniques to enhance MT use, thus improving the translator's working environment and job sustainability, as well as the user experience. To better understand this complex process, INCREC triangulates data
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the powerful synergy of dzITP with MS, the gold standard for metabolomics, to maximize insight into exosome-derived biomarkers. This project will center on the design and implementation of a novel microfluidic
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-dependent changes in electrical impedance with real-time high-speed distance measurements. In a parallel project, another Postdoc will, partly based on two current ongoing PhD projects, design and test
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into this environment are invited to apply. Experience in fields such as microfabrication, nanofabrication, biophysics, single-molecule techniques, synthetic cells, and optical imaging is welcomed. We foster diversity
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to offering a flexible, supportive, and rewarding work environment, designed to help you grow both professionally and personally. For more information about the working conditions, please visit: https
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implement cutting-edge AI solutions for real-time, image-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning