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, R Shiny, and frameworks for Large Language Models (LLMs) or Graph Neural Networks (GNNs). We are an equal opportunity employer, and all qualified applicants will receive consideration for employment
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Reconstruction Algorithms,” ICASSP 2015. (4) D.M. Pelt and J.A. Sethian, “A mixed-scale dense convolutional neural network for image analysis,” PNAS, January 8, 2019. If interested then, please, contact: Peter
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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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of artificial intelligence (AI) there is a growing interest from the research community in exploring near-analog biologic brain inspired solutions to reduce power consumption in neural networks. In this project
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algorithms, computational complexity theory, and information theory Relevant coursework and experience in spiking neural networks, and statistics A strong electronics background, including experience in
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of abstract concepts based on prior human knowledge. Neural-symbolic AI integrates the learning capabilities of neural networks with the reasoning and representational abilities of symbolic AI, thereby enabling
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of the project is to design, model and simulate neural networks based on magnetic skyrmion nucleation and propagation. The second objective is to fabricate these hardware neural networks, characterize
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: natural language learning, large language models, foundation models, transformer models Have a good fundamental knowledge of neural networks, state-of-the-art learning algorithms, and their applications
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09.02.2026, Academic staff The Laboratory for Ethics of Artificial Intelligence and Neuroscience at the Technical University of Munich (TUM), headed by Prof. Dr. Marcello Ienca, is seeking
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interdisciplinary areas. Research fields of particular interest include, but not limited to: biomedical science and engineering veterinary science computer science and data science neuroscience and neural