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theoretical research is focused on embodied neuroAI, recognising that the body influences biological neural networks, the continuity of actions, and sensory inputs. Leveraging advancements in Drosophila genetic
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will focus on developing theoretical frameworks to understand neural computation and dynamics. The candidate will: Build mathematical models of neural networks Study the dynamical properties of neural
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everyday life applications. More and more, we depend on neural networks to make even critical situations, such as control and motion planning for autonomous cars, and it is of primary importance to be able
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. The project is led by Heiko Schütt and will employ one PostDoc and one PhD student. About the role... You will develop new Bayesian methods to compare deep neural network and other artificial representations
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bioelectronic medicine and neural interfaces. References: D. Nikolayev et al., “Optimal radiation of body-implanted capsules ,” Phys. Rev. Lett.122, 2019. I. V. Soares et al., “Wireless powering efficiency
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neurons, in particular synaptic transmission, and the modulation of neural networks. The project will focus on characterizing synaptic alterations due to loss of function of FTSJ1. This protein is involved
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Sony STC focuses on R&D in various fields including machine learning and audio processing. The site has several audio laboratories and has an on-premise GPU cluster for simulation and neural network
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Mines Paris - PSL, Centre PERSEE | Sophia Antipolis, Provence Alpes Cote d Azur | France | about 2 months ago
for prescriptive analytics based on artificial neural networks and prescriptive decision trees focusing on the energy trading application. The aim is to propose generic solutions for a broad number of
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LevelMaster Degree or equivalent Skills/Qualifications Candidates should be able to demonstrate hands-on experience with deep-learning, graph neural networks, computer vision and associated development tools
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. Methodol. 33, 8, Article 211 (November 2024), 34 pages. https://doi.org/10.1145/3680470 [YVS17] T. -J. Yang, Y. -H. Chen and V. Sze, "Designing Energy-Efficient Convolutional Neural Networks Using Energy