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specific requirements: a) Experience in the application of data analysis and machine learning methods to scientific data (e.g. multivariate analysis, chemometrics, neural networks, classification
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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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will join a community of exceptional scientists working on diverse topics ranging from how organisms age or how our DNA is repaired, to how epigenetics regulates cellular identity or neural memory
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(7913), 319-324. https://doi.org/10.1038/s41586-022-04672-7 Hourcade, C., Juhel, K., and Bletery, Q. (2025). PEGSGraph: a Graph Neural Network for fast earthquake characterization based on Prompt
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determines observables of the replication program such as the Mean Replication Timing (MRT) and the Replication Fork Directionality (RFD) profiles. We proposed a strategy to train a neural network to infer
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. ================================================ The description of the research topic "Mathematical foundations of approximation by (deep) neural networks" is as follows. Recently, the extensive use of (deep) artificial neural networks reached most of the areas
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the neural basis of flexible cognition. From basic functional circuit dissection in animals to human clinical studies, we ask how network disruptions cause cognitive deficits in neuropsychiatric disorders like
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neural network have been demonstrated using a single device. The main mission of this postdoc project, financially supported by IMITECH project, is to develop reservoir computing function based on a
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or hard constraints, operational bounds (voltage limits, capacity, phase balance), and network topology through graph neural network architectures. You will build validated benchmark datasets and an
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predict interaction effects. Unlike robot-specific neural network models, the proposed approach aims to learn a universal representation of local interactions (fluid-structure, robot-robot, robot-object