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of experts in material synthesis, electrical characterization, device simulations, high-resolution imaging and synchrotron research. The division has own laboratories in the Ångström clean-room lab
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methods and frameworks for IT/OT security, including analysis of vulnerabilities and threat images in converging system environments; requirements analysis in collaboration with total defense actors
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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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doctoral student who has Competence and skills: -Strong foundation in computer vision (e.g., object detection, image segmentation) and NLP (e.g., text reasoning, language models). -Knowledge of generative AI
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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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approaches to image bacterial multi protein complexes, including cytoskeleton proteins and the mechanisms regulating bacterial polarity and cell division. Qualifications To be admitted for studies at third