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Advanced brain-computer interface School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr Mahnaz Arvaneh Application Deadline: Applications accepted all year round
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motor brain-machine interfaces based on the readout of activity in the primary motor cortex (Arduin et al. 2013, Abbasi et al. 2018), and we have trained mice to control a custom-made mouse forelimb
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-based transfer learning classification model for two-class motor imagery brain-computer interface. International Journal of Neural Systems (IJNS). https://doi.org/10.1142/S0129065719500254 * Kudithipudi
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neuroscience and (4) the development of computational models and methods for neuroscience. The goal is to implement advanced brain-on-chip models and CRISPR-based screens and methodologies to generate
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Innovative electrical interfaces for solid-state electrocaloric cooling using ferroelectric ceramics
the developed electrocaloric material and structure within a global system incorporating the electrical driving interface, with in mind the global energy efficiency of the whole device. The application
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A post-doctoral Research Associate position in Neurocomputation is available to work with Prof Zoe Kourtzi at the Adaptive Brain Lab, Univ of Cambridge, UK (http://www.abg.psychol.cam.ac.uk ). Are
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Centre d'Immunologie de Marseille-Luminy | Marseille, Provence Alpes Cote d Azur | France | 9 days ago
neuronal function, tissue homeostasis as well as infectious and neurodegenerative diseases. Due to their strategic location at the interface between the periphery and the brain, the meninges thus function as
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of the distinguished Association of American Universities. Connections working at New York University More Jobs from This Employer https://main.hercjobs.org/jobs/22002367/senior-systems-librarian-x2f-head-of-information
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Your Job: Healthy brain function relies on dynamic changes at the synapse. The relevant synaptic turnover and plasticity processes span spatial scales from the molecular up to the network level, and
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Systems – autonomous vehicles, collaborative robots, and human–machine interaction. · Biomedical Engineering & Health Technologies – wearable devices, brain–computer interfaces, and digital health systems