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combination of academic and industry experience. They will possess deep, hands-on expertise in modern AI architectures including convolutional neural networks, transformers, and diffusion models. The role also
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We seek a predoctoral research assistant to join the Humphries’ group at the University of Nottingham on a BBSRC-funded project to study the neural basis of foraging, in collaboration with
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convolutional neural networks (CNNs) trained on simulated data, enabling faster and more robust planet detection. 2) Developing a new CDI method using another modulation technique. This PhD will explore how
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, physics or a similar area - very good programming skills in Python - good prior experience with neural networks using common Python-ML libraries such as PyTorch - background knowledge in computational
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, computer science, data science, or similar · Strong publication record in peer-reviewed conferences and/or journals · Experience applying machine learning methods (especially deep neural network approaches
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of pediatric brain tumors, neural stem cell biology, neurodevelopment and translational research. Job Description Primary Duties & Responsibilities: Information on being a postdoc at WashU in St. Louis can be
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Intelligence, the project “Harnessing Vision Science to Overcome the Critical Limitations of Artificial Neural Networks (VIS4NN),” co-directed by Marcelo Bertalmío of the Spanish National Research Council (CSIC
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in Gait Training. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 24(11), https://doi.org/10.1109/TNSRE.2016.2551642 * Friston, FitzGerald, Rigoli, Schwartenbeck & Pezzulo (2017
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Infrastructure? No Offer Description Walton Institute is looking to hire a Marie Skłodowska-Curie Action (MSCA) – Doctoral Candidate (DC) under project BRAINET – Networked Distributed Neural Interfaces
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more cost-efficient. Together, UESL and IMOS are seeking a motivated and qualified PhD candidate to advance the use of hierarchical graph neural networks for modeling multi-scale urban energy systems. By