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. This work covers three main areas: Data Rescue – enhancing the joint WMO–C3S data rescue portal, developing a prototype image repository, improving the Data Deposition Service, and developing innovative
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holder will report to Prof Bennett. The research activities will take place in the state of the art facilities provided by NDCN including cell culture, live cell imaging and electrophysiology. The neural
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. The Sharma lab is developing rationally designed, smart, clinically translatable novel cell-targeted nanotechnologies for target-specific drug/gene delivery and imaging applications to help diagnose and
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projects that apply machine learning and advanced computational modeling to integrate multi-omics, clinical, and imaging data for biomarker discovery and mechanistic insights in AD. The position offers
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requirements described will be excluded. Preferential factors: Experience in image analysis and processing using AI algorithms; English language proficiency; Portuguese language fluency. APPLICATION
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engineering, and quantitative live-cell imaging to probe and model these processes. By combining stem cell biology with cutting-edge microscopy and physical concepts, we aim to establish a predictive framework
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cell handling, differentiation, and organoid formation, while inte-grating automated imaging, quality control, and data analysis. A strong component of the work will be the programming and customization
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with mouse models (FELASA B or C required) Experience with advanced imaging/omics and CRISPR/Cas9 technology is a plus. Team-oriented, innovative, and motivated to push boundaries in translational
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learning and image processing techniques for estimating the onset of arterial disease. 2)Implementation of denoisers as priors for the solution of inverse problems. Implement code in PyTorch and other
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technologies and of novel nanomaterials to address modern challenges in sustainability, nonlinear optics, photonic and quantum technologies, new nanostructured materials, sensing, imaging and clean energy. The