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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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interdisciplinary areas. Research fields of particular interest include, but not limited to: biomedical science and engineering veterinary science computer science and data science neuroscience and neural
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, working with Dr. Edmond S. L. Ho. This is an Interdisciplinary project with project partners from different sectors, including Health Informatics Centre (HIC) at the University of Dundee and NHS West of
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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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18 Feb 2026 Job Information Organisation/Company UNIVERSIDAD POLITECNICA DE MADRID Department HRS4R Research Field Computer science » Digital systems Researcher Profile First Stage Researcher (R1
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interdisciplinary areas. Research fields of particular interest include, but not limited to: biomedical science and engineering veterinary science computer science and data science neuroscience and neural
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interdisciplinary areas. Research fields of particular interest include, but not limited to: biomedical science and engineering veterinary science computer science and data science neuroscience and neural
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information about the network: https://euraxess.ec.europa.eu/jobs/401249 1. Context and Challenges Title: Physics-Informed Neural Operators (PINO) for Ultra-Fast Tomography: Toward Fundamental and Generalizable
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Skills, Experience and Qualifications PhD in biology/biochemistry or minimum MSc in Computer Science with a clear biological application Broad interest in biology and an understanding of immunology
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(MSCA) Doctoral Network “Neuromorphic computing and signal processing training network (MINDnet)”. The PhD projects (DC1 and DC2) will take place at Strathclyde’s Institute of Photonics (IoP, Physics Dept