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those described by which offer a promising architecture for modelling population-level neural interactions. Prior work has emphasized rate-based codes due to their relative simplicity; our approach will
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to neural population coding. As a starting point, we will build upon recent advances in graph neural networks (GNNs), particularly those described by which offer a promising architecture for modelling
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University Centre for Energy Efficient Buildings, Czech Technical University in Prague | Czech | 3 months ago
line. Start date is by agreement. We will contact applicants on an ongoing basis. Where to apply Website https://jobrxiv.org/job/embedded-developer-researcher/?utm_source=euraxess Requirements Additional
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arrangement: Part-time 0.6 FTE Duration: 8 months, commencing on 1st January 2026 Line manager: Principal investigator (Dr C Peng) Direct reports: N/A Our website: https://www.sheffield.ac.uk/architecture