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Field
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, both theorists and experimentalists. Fellows will join our highly interactive group, with interests ranging from the dynamics of single molecules to neural computation, and from biochemical and genetic
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Postdoctoral Research Scientist Department of Physiology, Anatomy & Genetics, Centre for Neural Circuits and Behaviour, Tinsley Building, Mansfield Road, Oxford Contract & job type: Fixed-term, Full
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Job description Research You develop a research program at an international level in the design and implementation of electronic circuits and systems with a focus on neural interfaces (brain-machine
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activities in circuits of murine models of 22q11.2 and 3q29 deletion syndromes, two rare conditions that confer the highest genetic risks of schizophrenia. Qualifications: PhD in computational neuroscience
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to the following: SDSC6012 – Time Series and Recurrent Neural Networks SDSC6016 – Predictive Analytics and Financial Applications SDSC8013 – Statistical Methods for Categorical Data Analysis (For detailed course
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execute a novel research program at the interface of sensory-motor systems, quantitative behavior, and neural computation. The Audette Lab is a new research group funded by the University of Connecticut and
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the solution of governing PDEs. - Train machine learning models to predict lifetime and failure based on loading and environmental histories. The PhD student will have access to world-class computing facilities
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be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD awarded in Electrical or Computer Engineering Knowledge about Deep Learning
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audience Job Requirements PhD in computer science or artificial intelligence Strong background in Python and PyTorch programming Curiosity in learning new knowledge and investigating unsolved problems Keen
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, or examples, these aspects are of utmost importance and need to be explored to provide convincing and well-grounded arguments [1]. This PhD program will propose to explore advanced methods to detect implicit