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for the realistic simulation of space images. The work lies at the intersection of computer graphics, space engineering, and autonomous GNC systems, addressing the image rendering needs for lunar landing, in-orbit
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, computer science or mathematics (or a related field), with a focus on computer vision, image processing, or machine learning Solid mathematical and physics background, distinct analytical skills Very good
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techniques and imaging technologies, the unit delivers cutting-edge solutions with real-world impact. Led by Prof. María Cuartero (ERC Fellow) and Prof. Gaston Crespo, UCAM-SENS fosters innovation, education
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the mechanisms of neurovascular coupling (NVC) in the human retina — a key physiological process whose early dysfunction is linked to Alzheimer's disease. The team has developed a new cellular-resolution imaging
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skills in Python and experience with deep learning frameworks such as PyTorch or TensorFlow, as well as familiarity with medical image analysis and computer vision. Experience in federated learning, AI
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Recognition, Image Processing, Natural Language Processing, Virtual Reality and Game, Robotics, Software Engineering, Programming Languages, Multimedia, Computer Graphics, and Visualization, etc. Job
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clinical researchers. - Experience with multimodal imaging or integration with other imaging techniques. Application Process: Interested applicants should submit the following: - Cover letter outlining
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into the generation process. This multidisciplinary project will deliver deployable models, reproducible methods, and, where allowed, shareable datasets. The student will gain training in deep learning, AI, image
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focus, with therapeutic strategies to be validated in patient material to ensure clinical relevance. For examples of how the research is conducted, see: https://www.tcr.lu.se/research-groups/immuno
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to investigate the neural mechanisms underlying psychiatric diseases. By leveraging a wide array of state-of-the-art techniques including in vivo calcium imaging, telemetry, chemo- and optogenetic manipulations