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measurement techniques and PIV. Familiarity with optics, lasers, image processing and statistical data analysis. Familiarity with flow modelling techniques (CFD) or machine learning for fluid flows. Aptitude
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these operations, and then train transformer models to predict sequences of operations in unseen data. Please see Weindel, Borst, & van Maanen, eLife, 2025, Weindel, van Maanen, & Borst, Imaging Neuroscience, 2024
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while keeping heat uniform across the workpiece. Insulation co-design — You co-design the power stage and its insulation system for safe MV operation, using FEM analysis of electric-field distribution
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master levels and advancing research about the integration of cutting-edge AI and machine learning as tools to enhance the analysis, interpretation, and scalability of Remote Sensing data. The successful
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theoretical advances into practical insight and tools that can support analysis, design and decision-making for AI-enabled space systems, thereby bridging the emerging scientific theory of deep learning with
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tomography, including correlative light and electron microscopy. You have experience with image analysis, ideally in the context of electron microscopy. You have strong computational and programming skills
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, data analysis, literature research, article writing, and contributing to the acquisition of funding. We ask you to become independent by taking initiative and developing your own creative ideas. You will
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equally between teaching Remote Sensing and GIS at bachelor and master levels and advancing research about the integration of cutting-edge AI and machine learning as tools to enhance the analysis
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-design the power stage and its insulation system for safe MV operation, using FEM analysis of electric-field distribution, dielectric stability, and breakdown to guide topology selection, dv/dt management
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central part of the project will be structural analysis by cryo-electron tomography and, where applicable, single-particle cryo-EM. The postdoc will prepare vitrified samples of bacteria undergoing actin