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Fellow to join the Tang Lab. The Tang Lab (https://tangxinlab.org/ ) develops interpretable and autonomous artificial intelligence (AI) systems for biological and biomedical research. Our neuroscience
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at the intersection of artificial intelligence and cultural heritage. The successful candidate will be involved in cutting-edge research and development in 3D computer vision and machine learning for the digital
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Physics and AI: Physics-Informed Machine Learning (PIML): Physics-informed neural networks, with applications to Fluid dynamics, plasma physics, elasticity, weather modeling AI for Scientific Discovery in
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is an interdisciplinary effort at the frontier between Biology (Genetics, Genomics), Bioinformatics, Artificial Intelligence (Neural Networks) and Statistics (LMMs). The aim is to join the
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Center for Interdisciplinary Data Science and Artificial Intelligence
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the Job related to staff position within a Research Infrastructure? No Offer Description «Harnessing Vision Science to Overcome the Critical Limitations of Artificial Neural Networks VIS4NN. CPI-25-670
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: Developing novel techniques to understand how information is processed within deep neural networks. Developing methods that achieve high accuracy while also being safe, interpretable, responsible, and reliable
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approaches to neural networks, learning-theoretic analysis of algorithms and geometric analysis of the learning landscape. Candidates are encouraged to interpret these subject areas broadly. Fellows will have
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at the intersection of artificial intelligence and cultural heritage. The successful candidate will be involved in cutting-edge research and development in 3D computer vision and machine learning for the digital
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or equivalent Skills/Qualifications - PhD in bioinformatics or related subjects - Expertise in python coding - Experience and good understanding of neural networks and machine learning - Fluent written and spoken