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the molecular structural dynamics of proteins and small molecules. We primarily use time-resolved X-ray scattering and diffraction experiments at free-electron laser sources. Our research combines biochemistry
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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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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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application! At the intersection between AI and single atoms. Your work assignments We are looking for a PhD student with a background in machine and deep learning with focus on image processing and restoration
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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
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forces. The quantum sensing advantage arises from uniquely quantum resources such as coherence and entanglement, as well as from how the parameter of interest is encoded into the quantum state. Candidate
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, and law, where inaccurate or misleading responses –- known as "hallucinations" –- can have serious consequences. ARMADA seeks to develop solutions that make these AI systems more trustworthy, coherent
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across nine universities. CIPA is Lund University’s local infrastructure for image processing and analysis. CIPA is also the coordinating unit for Lund University's InfraVis node, consisting of around 10
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and survival in host cells. Through a combination of microbiology, imaging, molecular biology, and translational modelling, the PhD student will generate data to support the design of biofilm-resistant
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mutagenesis, imaging, genomics, and single-cell transcriptomics. The project and research environment will give the dedicated student the opportunity to train as a first-class researcher. PhD project 2: The PhD