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, and Queen’s high-performance computing infrastructure. Ideal candidates will have a strong record of research excellence at the intersection of NHP neurophysiology, computational modelling and AI
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not limited to expertise in neural circuits to behaviour, sensorimotor control, decision-making, and neural computation using various model systems. The ideal candidate will complement our centre's
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permafrost regions. By combining field data with mathematical and physical modeling, this international project aims to advance our understanding of the impacts of permafrost thaw beyond ecological tipping
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