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E-mail jakub.ceranka@vub.be Website https://jobs.vub.be/job/Elsene-PhD-in-'medical-image-analysis-and-artificial-in… Requirements Research FieldEngineering » Biomedical engineeringEducation
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have strong programming skills in Python; You have knowledge of medical image processing, and machine learning and deep learning techniques; Written and spoken proficiency in (scientific) English is
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, multidimensional signal processing and audiovisual computing. We are a core member of IMEC, the world-leading research and innovation center in nanoelectronics and digital technologies. Our team is currently a
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) recordings, based on machine learning and signal processing methods. The work involves machine learning for image processing, processing and decoding of EEG signals, and EEG data collection. - You should
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and Images (PSI), within the research group EAVISE. The project explores processing audio under motion. For stationary sound source and receiver conditions, audio processing has seen strong advances in
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children learn new words not only by listening to a storyteller but also by processing multimodal signals such as iconic gestures and gaze direction. Using eye-tracking in both real-life and digital contexts
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asset. Selection process For more information please contact Prof. dr. Michele Panzavolta, mail: michele.panzavolta@kuleuven.be . In case of problems with the online application, please contact
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and applied image/data processing. Profile You hold a Master degree in Computer Science, Electronics Engineering or you will have obtained it by the time you start work. You can demonstrate good study
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: (1) automated reconstruction of a visual and geometrical 4D Digital Twin based on visual computing; (2) usage of information from digital imaging techniques for estimation and prediction of current and
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-impact weather A dedicated computer scientist/software engineer works alongside you to set up ICON-CLM on the HPC systems, support simulations and manage large data volumes—so you can focus on the science