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set a course for the future – a future that you can help to shape. The Bio-Imaging Lab , Department of Biomedical Sciences in the Faculty of Pharmaceutical, Biomedical, and Veterinary Sciences is
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the development of tools to improve end-user education and detection of social engineering attempts generated by AI systems, including emails, voice messages, online websites, and images, as well as methods
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World Models for tasks mixing images, text and structured data (graph, tabular), such as simulation of flooding, cancer and power grids. For further information, please contact Dr. Salah Ghamizi: Your
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to citizens and businesses. The successful candidate will join the Computer Vision, Imaging, and Machine Intelligence (CVI²) research group (https://www.uni.lu/snt-en/research-groups/cvi2/ ) led by Prof
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experimental single and multiaxial tests including digital image correlation based analysis. You will model the tests numerically using a continuum as well as a discrete approach, with the goal of obtaining a
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the framework of strategic early-phase trials. You will analyze and process data from strategic clinical trials in Spondyloarthritis. You will evaluate and implement new, advanced molecular imaging techniques
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. The project combines expertise in lipid metabolism and lipidomics with cutting-edge spatial omics technologies, including Mass Spectrometry Imaging (MSI), Raman microscopy, MILAN, Xenium, Visium, and COMET
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technology Technology » Energy technology Engineering » Mechanical engineering Engineering » Thermal engineering Engineering » Computer engineering Engineering » Design engineering Researcher Profile First
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activities focus on topics such as: AI agents and computer-use agents Security, robustness, and trustworthiness of AI systems Evaluation, benchmarking, and testing of AI systems Runtime monitoring and
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multiaxial tests including digital image correlation based analysis. You will model the tests numerically using a continuum as well as a discrete approach, with the goal of obtaining a simplified homogeneous