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implementations (e.g., biophysical models), as well as models of machine intelligence (e.g., deep convolutional neural networks). We test the models' predictions in our empirical studies with human participants
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instances to solve new, yet similar, instances more efficiently than with general purpose algorithms such as Netwon`s method. In particular, we aim to develop a neural network architecture that will allow us
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learning, physics-informed neural networks, graph neural networks, transformers, convolutional defiltering methods, etc.) for the integration in multi-physics simulation codes You will develop code for and
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or spike correlation patterns limited to local neural circuits or span across brain regions? Set up a network model to reproduce the main results and provide potential neuronal mechanisms. Existing
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Neural Networks VIS4NN. CPI-25-670», in charge of the line of research: «Redes neuronales de visión basadas en visión humana». Website for additional job details https://www.uv.es/uvweb/servei-recursos
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, electronic integration, algorithms, and end-use applications. As Assistant Professor in Photonic Neural Networks, you will: Develop an independent research program in hybrid neuromorphic photonics, spanning
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or equivalent Skills/Qualifications - PhD in bioinformatics or related subjects - Expertise in python coding - Experience and good understanding of neural networks and machine learning - Fluent written and spoken
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Research using Graph Neural Networks
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an excellent publication record. Solid research experience in one or more of the following topics is expected: Graph neural networks Optimization algorithms Predicting structured output Self-supervised learning
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"Physiology of Neural Networks" team and will be in charge of a research project aimed at understanding the mechanisms of integration of cerebellar information in pyramidal cells and interneurons of the motor