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knowledge or hands-on experience with Python, ImageJ, and/or MATLAB is highly beneficial for image processing and data analysis. Communication: Excellent written and spoken communication skills in English are
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To unlock the potential of targeted femtoliter volume control for efficient imaging of biological objects at molecular resolution. Job description Femto-Cryo project is a Topconsortium voor Kennis
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rehabilitation center, and will be embedded in the Vision and Imaging Data Analytics group at the Department of Intelligent Systems and Centre for Cognitive Science and Artificial Intelligence at Tilburg
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outbreaks, yet the scientific literature paints a conflicting picture. This projects aims to reveal the ‘why?’ behind the variation in diversity-disease relationships. What mechanisms of pathogen transmission
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Unravel the complexity of valve disease in heart failure using Digital Twin technology. Help transform how cardiologists decide when and how to treat patients through personalized computer
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, Engineering or related field. A strong background/knowledge in machine learning and computer vision, natural language processing is a plus. Solid mathematics foundations, especially statistics, calculus and
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. Your profile An MSc degree in Artificial Intelligence, (Applied) Mathematics/Physics, Computer Science, Engineering or related field. A strong background/knowledge in machine learning and computer vision
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master’s degree in a relevant field (e.g., cognitive neuroscience, biomedical engineering, biological psychology) experience with programming (e.g., MATLAB, Python) hands-on experience with neuroscientific
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motivated, you have a collaborative and persevering mindset and a keen interest in memory research. a master’s degree in a relevant field (e.g., cognitive neuroscience, biomedical engineering, biological
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industrial application. It is part of activities in ARCNL’s Source Department. The research activities of the Source Department and its EUV Plasma Processes group aim at the atomic- and molecular-level