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Los Alamos has been rated #3 in the Best Counties to Live in the USA. Apply Now https://lanl.jobs/search/jobdetails/sparse-neural-network-design-post-doctoral-research-associates/e80bfca8-271e-4be8-b205
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of multi‑radio systems, interference management, and energy‑efficient network design. Familiarity with machine learning applications in communications, including neural networks and federated learning
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, and similar equipment. Proficiency in Python programming including ability to install and use spiking neural network simulators such as SNNTorch, NEST, Nengo, etc. Experience with semiconductor memory
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) in computer science, mathematics or statistics, with an excellent publication record. Solid research experience in one or more of the following topics is expected: Graph neural networks Optimization
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speech (i.e., statistical learning), we aim to understand the neurophysiological underpinnings of the beneficial effects of music exposure across early language acquisition. The underlying neural network
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: Developing state-of-the-art neural networks to accelerate the development of formulations in the pharmaceutical sector. Collaborating on the implementation of these techniques within a company. Contributing to
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among the following ones, as well as collaboration in the teaching and third mission activities of the Faculty: 1) Gravitational wave research with the LIGO/Virgo/Kagra network and Einstein Telescope; 2
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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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-edge research at the interface ofAI/ML and mechanistic modeling . Depending on your track, you may focus on: Track A (AI/ML):Developingphysics-informed neural networks (PINNs)for integrating mechanistic