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). · Application of ultra-high-resolution NeuroEXPLORER PET for imaging neuroinflammatory processes in the brain, with a focus on neuroinflammation in healthy ageing. · Comparison between patients with AD
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models
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Number BAP-2026-411 Is the Job related to staff position within a Research Infrastructure? No Offer Description Optical imaging is a cornerstone of modern biological research, yet current methods face a
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gained to improve the sustainability of agriculture and the climate change resilience of crops. We are currently looking for an expert in Computer Vision, Image Analysis and AI to join our team. In
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modeling of cell morphology and tissue function using imaging and computer vision; AI models of disease and digital twin applications. Biological applications and disease areas ideally focus on genetics and
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program)•Genuine interest in neurodevelopment, brain imaging and signal processing, with strong motivation to conduct clinical research and to engage with research participants•Proficiency in programming
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camera system for acquiring plant seedlings in the visible spectrum Design and programming of computer vision software to extract plant phenotypic data Catalyze the development of the system from prototype
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process data from strategic clinical trials in Spondyloarthritis. You will evaluate and implement new, advanced molecular imaging techniques. You will have the unique opportunity to expand your clinical
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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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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