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Associate with expertise in studying signalling pathways in neonatal rat ventricular myocytes or iPSC-derived cardiomyocytes. The position is based in Dr Joseph Burgoyne’s group at the Rayne Institute, St
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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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. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are
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dilution refrigerators, measurement electronics and software, and fabrication processes all in place to achieve top scientific results without the need to build tools for years. Responsible and meaningful
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the areas: AI, deep neural networks, machine learning, applied topology, probability, statistics, signal processing. About the School The School has an exceptionally strong research presence across
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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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at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level role but candidates who have
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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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PhD (or be near completion) in a field such as AI, computer science, signal processing, biomedical engineering, have a strong record of publication in engineering or computer science literature, and