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Field
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, information, and systems need to be protected for a long time to come. Encrypted information stored today could be decrypted in the future using quantum computers ('Store now, decrypt later'). This also poses
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and computer science and be fluent in oral and written English. Specific depth in mathematics, computer security or encryption is valuable but not a requirement. It is an advantage if you have previous
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algorithms for Bayesian machine learning with applications in e.g., medical image analysis. The doctoral student position is offered within the machine learning project “The Challenges for Machine Learning in
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terrestrial laser scanning data (ALS, TLS), satellite and aerial images. Collecting field data as well as participating in burning experiments may also be part of the work. The research team includes expertise
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related to clinical imaging diagnostics. LUCI (Lund University breast Cancer Imaging) is an interdisciplinary group of scientists and medical professionals, mainly focused on innovative clinical imaging
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Electron Microscopy (TEM) and HAADF-STEM images. Microscopy data are often degraded by noise and scan distortions, and clean ground truth data are rarely available. This project aims to go beyond standard
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sensing data includes airborne and terrestrial laser scanning data (ALS, TLS), satellite and aerial images. Collecting field data as well as participating in burning experiments may also be part of the work
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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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Sweden’s national infrastructure for visualization of scientific data. Currently, InfraVis employs over 50 experts across nine universities. CIPA is Lund University’s local infrastructure for image