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the spatial reasoning capabilities of multi-mode large language models and hybrid AI systems combining artificial neural networks with symbolic AI. In-house research and development of one of these systems
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the spatial reasoning capabilities of multi-mode large language models and hybrid AI systems combining artificial neural networks with symbolic AI. In-house research and development of one of these systems
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, neural networks, and artificial intelligence. Their main duties will include the design, development, and validation of predictive models, as well as the analysis and processing of large volumes of data
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technologies such as neuromorphic and photonic processors. This diversity challenges traditional Electronic Design Automation (EDA) tools, demanding new paradigms for design automation. Artificial intelligence
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neuromorphic circuits. We will also simulate high-efficiency spiking neural networks (SNN) and build neuromorphic sensory systems to validate performance and explore broad biomedical and other potential
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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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of responses to images and model these representations with AI models (deep neural networks (including topographical), multimodal models, Large Language Models), 2) define and model dimensions related
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methods with applications to data science and artificial intelligence. The position serves as a pivotal connection between the Faculty of Mathematics and the Research Network “Data Science @ Uni Vienna
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AI/ML technologies, such as deep learning and neural networks, machine learning and statistical modelling, federated and distributed learning, explainable and trustworthy AI, data engineering
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Biomarkers and Susceptibility Unit (UBS). To find out more, visit our website: https://www.odap-ico.org/ About the role We are seeking a highly motivated data scientist to join the research team on artificial