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imaging (MRI) and light-sheet microscopy), biological and medical sciences (tissue microstructure, immunostaining, and neuroscience), and computer science (data analysis, image processing, machine learning
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are subtopics in the research domain of machine learning). Current research within the WAVES group is focused around the recent trends emerging in the current online and offline world where users have to cope
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for focal epilepsy with ultrasound neurorecording, modulation, and deep reinforcement learning (DRL) closed-loop control. The technology will be developed through detailed computer simulations and preclinical
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your knowledge and skills on state-of-the-art in machine learning, (probabilistic) modelling, system identification and numerical optimization. How to apply Send your CV containing one or more references
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(Mechanical Engineering, Civil Engineering, Materials Science, Computational Mechanics, etc.) You should have a strong interest in in experimental testing, data processing and machine learning. WHAT WE CAN
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experience with scientific computing, data analysis, machine learning and/or AI You have an interest in environmental sustainability and pharmaceutical production Considered a plus: You have experience with
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-of-the-art in machine learning, (probabilistic) modelling, system identification and numerical optimization. How to apply Send your CV, containing one or more references, a copy of your diploma (if already in
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; knowledge of Dutch is a plus but not mandatory. FELASA certification (B or C) is a plus, but can be obtained during the project. Having knowledge of or a strong interest in Machine Learning (ML) is a plus