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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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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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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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research, administration and technology and is led by Professor Anna Falk. Linked to the group is the preGMP facility, an infrastructure for process and assay development and clinical translation of cell and
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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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electrolytes, primarily solid-state, for applications in Li-based batteries. Polymer synthesis, electrolyte fabrication, construction and testing of prototype battery cells are all parts of the project
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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