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. Description of PhD Project The PhD project “Monitoring Anterior Segment Perfusion and Oxygenation During Strabismus Surgery” aims to develop and evaluate non-invasive imaging techniques for real-time monitoring
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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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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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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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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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, Experience in image processing and image analysis of tomographic or other imaging data, High motivation, ability to quickly learn new techniques, and strong time management skills, Strong collaboration and
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innovative fabrication processes to solve urgent problems in organic electronic devices, and enable new components with sustainable functionalities. Collaboration with industry partners will enhance
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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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respect to battery performance, and study fundamental chemical processes and properties using both experimental and computational techniques. The research is, as such, both fundamental and applied. This PhD
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processes such as metabolic flux readouts and analyses of signaling pathways. In this way, the project integrates discovery-based proteomics with mechanistic experiments to directly link protein localization