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An innovative opportunity awaits for a PhD candidate passionate about neuroscience and plasticity research. This studentship focuses on exploring the cellular and network properties of human cortical organoids, utilizing cutting-edge techniques such as high-resolution electrophysiological recordings and fluorescence imaging. Collaborating with experts in statistical physics, you will contribute to pioneering research that aims to deepen our understanding of human neuronal dynamics and inform future neuromorphic computing solutions. If you're eager to make a significant impact in the field of neuroscience, this role is perfect for you.
This PhD studentship focuses on understanding the cellular, synaptic, and network properties of plasticity in human cortical organoids.
The project aims to investigate the mechanisms of synaptic and network plasticity in human neurons, which are less understood compared to rodent models. It involves growing cortical organoids and analyzing their neuronal networks using high-resolution CMOS multielectrode array electrophysiological recordings, fluorescence calcium imaging, and optogenetic stimulation. The research will collaborate with statistical physicists and modelers to explore the structures and dynamics of human plasticity, contributing to the development of novel neuromorphic computing approaches.
The ideal candidate should have or expect to obtain a Masters degree in neuroscience, stem cell biology, or a related biological science with a minimum of 60% weighted average, or a First or Upper Second Class Honours degree (or equivalent from an overseas institution).