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neuroimaging frontier! Job description Understanding how the brain works is one of the most profound scientific challenges of our time. To that end, the development of new imaging methods is one of the most
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major European initiative developing scientific foundation models (SciFMs) for materials science. SciFMs are emerging as a powerful paradigm for scientific discovery. SIMU-LINGUA addresses key challenges
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in September 2026. Physical learning is an emerging paradigm in which materials adapt their behavior through local physical rules, without digital computation. Despite rapid experimental progress, it
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of manuscripts, the poetics of prayer, the function of images, and changes and continuities in relation to religious movements and the advent of print. PRAYER aims to yield an integrative understanding of the role
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language functions arise from large-scale brain networks and how these networks differ across individuals. The project combines advanced diffusion MRI tractography, functional imaging and multivariate
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security-oriented workflows. This includes designing methodologies that ensure traceability, robustness and bias mitigation in AI models, as well as creating prototype tools that demonstrate how transparent
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requirements should be implemented; design and propose architecture and operations concepts and propose recommendations on the most promising technologies that should be leveraged; prototype software
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, medical imaging, pathology, molecular biology, and biostatistics. The resulting international biobank of precisely characterised tumour samples provides the basis for countless research projects and opens
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projects that will provide ground-breaking technological advances based on ultrasound transducer arrays. At the Imaging Physics Department, Faculty of Applied Sciences, we develop innovative measurement
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development in vivax-type malaria parasites. To unveil unique parasite biology, we will combine state-of-the-art omics, gene editing, and imaging technologies in a highly collaborative setting. We need your