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: Statistical signal/image processing, deep learning, machine learning, neuromorphic computing Good communication skills and an appropriate publication record are essential. Solid knowledge of Python and C++ is
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founding a clinical feasibility study at the Royal London Hospital. Background The post holder should hold relevant PhD in Signal Processing, Software Engineering, Electronics Engineering, Biomedical
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. Research Environment The project is in collaboration with two partners: (i) IDCOM at the University of Edinburgh, which develops theory, algorithms and hardware for the next generation of signal processing
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and experience: Essential criteria PhD in Neuroscience Experience in rodent stereotaxic surgeries. Experience in Electrophysiology recordings in vivo in rodents Experience in Electrophysiological signal
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recordings in vivo in rodents, as well as experience in the analysis of Electrophysiological signals. This is a full-time position and you will be offered a fixed term contract until the 1st September 2027
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at est42@cam.ac.uk . For queries relating to the application process, please email LE46553@maths.cam.ac.uk . Please indicate the contact details of two academic referees on the online application form and
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Population and Data Science. The Institute was ranked the number one place in the world to study ophthalmology (CWUR 2017 world rankings), attracting principal investigators, post-doctoral fellows and PhD
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research. The ideal candidate will have experience in conducting and analyzing behavioral experiments, online experiments, physiological recordings, signal processing, statistical analyses, and computational
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A position exists for a Post Doctoral Research Associate in the Department of Applied Mathematics and Theoretical Physics, funded by the High Energy Physics group's STFC Consolidated grant
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nanotubes, enables the exploration of thermodynamic processes at the nanoscale. Carbon nanotubes serve as exceptional nanomechanical resonators due to their low mass, high stiffness, and quality factor