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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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fuel structure, processing of different remote sensing and mapped data, statistical modelling, mapping of fire risk and analyzing the effect of forest management for fire behavior. Considered remote
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the 2025 Nobel Prize in Chemistry. Electron microscopy and electron diffraction offer powerful tools for advanced structural characterization. Aberration correction now enables imaging with true atomic
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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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neuronal connectivity in the brain. With live cell imaging, genetic perturbation, and transcriptomics (in collaboration: proteomics) we derive mechanistic insight into how ciliary signaling translates
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. The research will involve practical DNA sampling, high-throughput genotyping, and data fusion using machine-generated harvest data, annotated images, and environmental information. The student will also evaluate
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understanding and innovative fabrication processes to solve urgent problems in organic electronic devices, and enable new components with sustainable functionalities. Collaboration with industry partners will
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its dependency on the pre-fire forest structure and management practices in Fennoscandian boreal forests. Work includes e.g. developing methods to assess burn severity and fuel structure, processing
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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