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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 14 days ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Starting date: 01.12.2025
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? We invite applications for a PhD position, focusing on the design and implementation of Spiking Neural Networks (SNNs) using CMOS technology. Project Overview This PhD position is part of a
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6 Nov 2025 Job Information Organisation/Company University of Valencia Research Field Physics » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Spain Application
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to provide PhD students with an in depth understanding of the fundamental theories and learning methods, as well as advanced issues of neural networks and deep learning. Students will gain an in depth
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this role, you will contribute to developing computational models of neural circuitry across different architectures and scales. You'll simulate how these networks respond to targeted perturbations, then
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this role, you will contribute to developing computational models of neural circuitry across different architectures and scales. You'll simulate how these networks respond to targeted perturbations, then
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expect the postdoc to: 1) Review relevant literature on passive auditory/music induce neural plasticity 2) Design and implementation of the music exposure program. This includes selection of music, set up
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Description The research group of Systems Neuroscience of IMBB under the European Program ERC-2022-STG - NEURACT entitled “Untangling population representations of objects. A closed loop approach to link neural
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. Dutertre, et S. Pontié, « Evaluation of Parameter-based Attacks against Embedded Neural Networks with Laser Injection », International Conference on Computer Safety, Reliability, and Security (2023), doi
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Description The research group of Systems Neuroscience of IMBB under the European Program ERC-2022-STG - NEURACT entitled “Untangling population representations of objects. A closed loop approach to link neural