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Responsibilities: Develop and apply machine learning and deep learning models (e.g., graph neural networks, generative models, transfer learning) for materials property prediction, interpretation, and
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, multimodal learning, generative models, graph neural networks, or foundation models. Experience with structural and/or functional brain modeling. Familiarity with neuroimaging and neural signal
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based on regularization and interpretable neural networks. In the context of tumor growth, possible research directions include the reconstruction of earlier tumor configurations from later-time
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, neuromechanical simulations or robots driven by connectome-constrained artificial neural networks. Candidates from outside the field of neuroscience are encouraged to apply, but must be curious, persistent, and
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of Arizona is seeking a postdoctoral research associate to develop theoretical and computational approaches for understanding how biological neural networks organize activity through nonlinear
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aphasia Evaluate how intensive language therapy modulates neural engagement across brain networks Neuroimaging-Based Prognostication & Connectivity Mapping: Develop and refine computational pipelines for
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Job Description The Halassa lab ( https://halassalab.vtc.vt.edu/ ) invites applications for a Postdoctoral Associate position at the Fralin Biomedical Research Institute (FBRI) at Virginia Tech
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. We prefer you have prior experience in developing and simulating both spiking and non-spiking neural networks with local learning rules. It is commendable if you have good collaborative skills and can
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synergistic methods to make the implementation of convolutional neural networks for avionics and automotive applications safe with respect to permanent and transient faults. Where to apply Website
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<span lang="en">Universitätsklinikum Hamburg-Eppendorf</span> | Hamburg, Hamburg | Germany | 9 days ago
(2024) and Cell Reports (2026). Lucia Testa works on geometric and topological deep learning, including neural networks on simplicial and cell complexes, with contributions in IEEE Transactions on