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focus on image processing and restoration, to develop novel AI-based approaches to restore and denoise Transmission Electron Microscopy (TEM) images. This position is part of a cross-disciplinary research
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nanotechnology, with access to state-of-the-art instrumentation for HAADF-STEM imaging and in situ experiments. The project will be pursued in close collaboration with the Materials Design Division (also at IFM
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, or erroneous data, Data cleaning and generation, Development of enhanced loss functions and information-theoretic methods for optimized data analysis, Machine learning-based image segmentation of tomographic
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methods for optimized data analysis, Machine learning-based image segmentation of tomographic data (e.g., synchrotron X-ray microtomography), Design and use of autoencoders (VAEs, GANs), diffusion models
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reconstruction, as well as in situ electron tomography approaches to image bacterial multi protein complexes, including cytoskeleton proteins and the mechanisms regulating bacterial polarity and cell division
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electron tomography approaches to image bacterial multi protein complexes, including cytoskeleton proteins and the mechanisms regulating bacterial polarity and cell division. Qualifications To be admitted
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. Development of advanced imaging and characterization technologies (X-ray micro tomography, EPR imaging and spectroscopy) to evaluate performance of electrodes and to map electrolyte chemical composition in
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and textile techniques like tufting, machine-based embroidery techniques or non-interlaced 3D pre-forming. Development of advanced imaging and characterization technologies (X-ray micro tomography, EPR
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. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us on the Department of Information Technology website . At the Division
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Meritorious will be considered experience in: - Microscopy-based imaging - Immunohistochemistry - Work with clonal cell lines - Work with other model organisms such as D. melanogaster or D. rerio You are a