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systems (CDSSs), so that their use in the clinic can be subject to rigorous quality control and certification. In this position, you will work on exploring synergies between Bayesian networks and AutoML
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AI. Dive into cutting-edge research on spiking neural networks, event-based sensors, and asynchronous learning. Collaborate internationally, publish your work, and inspire future minds through teaching
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communication skills in English (both written and oral). Preferably, you have a strong background in MRI physics and knowledge of Physics Informed Neural Networks. We offer We will give you a temporary employment
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, W., Teulière, C., Zeldenrust, F., Rao, R. P. N., Triesch, J., & Ororbia, A. (2024). Predictive Coding with Spiking Neural Networks: A Survey (arXiv:2409.05386). arXiv. https://doi.org/10.48550/arXiv
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-assembly in polymers. You will contribute to the activities of the department, and of the national and international network of researchers working in the calculus of variations. The position includes