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and validate results alongside the INPHYNI team, which manages the Côte d'Azur quantum network. Design a decentralized deep neural network routing protocol using Deep Q-Networks (DQN) for q-datagram
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for Translational Neuromedicine (CTN) is looking for an experienced and highly motivated PhD student. The successful candidate must be interested academically in neural and neuroendocrine biology, particularly in its
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and offer opportunities to develop complementary scientific and transferable skills. Where to apply Website https://www.academictransfer.com/en/jobs/364391/phd-neural-organoids-to-predict… Requirements
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on machine learning and networks, release the code in open access and actively participate in the international interpretability community. Where to apply Website https://seuelectronica.upc.edu/en/procedures
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new theoretical approaches for understanding stability, generalization, and feature learning in large-scale neural networks. Further details and application instructions are available at: https
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to brain networks and psychosocial systems”, PN-IV-P6-6.1-CoEx-2024-0139. Where to apply E-mail [email protected] Requirements Research FieldAllEducation LevelMaster Degree or equivalent Skills
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Reference Number BAP-2026-500 Is the Job related to staff position within a Research Infrastructure? No Offer Description Modern embedded AI systems rely on Deep Neural Networks (DNNs) running on resource
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models ranging from baseline approaches to graph neural networks. You will also oversee the open release of project datasets, models, code and documentation. The successful candidate will join Oxford's
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the start of the position Have practical experience in machine learning with Python, including training neural networks in PyTorch or a similar framework Have a solid background in signals and systems as
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omics dataset generated to infer alterations in gene regulatory networks and cell-cell communication pathways responsible for the neurodegeneration. These predictions will be functionally validated using