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Field
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using Pauli propagation and tensor network methods. The posts will focus on classical benchmarking, including Pauli propagation, tensor networks and related numerical methods for simulating smaller
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on developing novel neural network approaches to predict protein conformational dynamics from fixed protein structures, addressing fundamental challenges in structural biology with broad applications in
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University of California, Los Angeles | Los Angeles, California | United States | about 18 hours ago
forests, gradient-boosting methods, PLS-based approaches, neural networks, or related methods is preferred. Experience with feature selection, model interpretation, cross-validation, external validation
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-learning models (e.g., graph neural networks, equivariant architectures) in collaboration with computer science researchers. Applying developed models to problems in Earth and planetary interiors, such as
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genes and molecules to neural networks and psychosocial systems”, PN-IV-P6-6.1-CoEx-2024-0139, Where to apply E-mail [email protected] Requirements Research FieldPsychological sciencesEducation
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understand the neural foundations of the human cognitive system, especially Working Memory. We are the first lab in Poland to record the activity of single neurons in humans. Our work was recently published in
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living systems. The Leifer Lab studies how a biological neural network processes information, performs computation and generates actions. The lab is located within the Department of Physics and the
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networks and their variants (e.g., spiking neural networks) You publish internationally and give lectures. You apply for projects and raise third-party funds. You prepare and complete a publication-ready
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the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes
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neural receiver, from reflecting intelligent surfaces (RIS)/integrated sensing and communications (ISaC) to network design using O-RAN, from statistical learning theory to software defined radio (e.g