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Field
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explore how artificial intelligence can be used to predict the response to therapy in cases of acute rejection of the kidney graft. Using machine-learning techniques, you will assess kidney transplant
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You will work in an interdisciplinary team at Radboudumc, consisting of the Department of Nephrology and the Computational Pathology Group (CPG ) within the Department of Pathology . The Department of Nephrology is responsible for approximately 150 kidney transplants per year and the associated...
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. Artificial Intelligence (AI) is reshaping how organizations collaborate, make decisions, and develop talent. At the Graduate School of Business and Economics (GSBE), you will explore how AI transforms
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Welcome to Maastricht University! The world is changing rapidly, and so is procurement. Artificial Intelligence (AI) is reshaping how organizations collaborate, make decisions, and develop talent
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, the PhD researcher will develop physiological-model-based artificial intelligence technologies to assess patients’ recovery process, detect or even predict the occurrence of clinical adverse events like
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), photoplethysmogram (PPG), Electrodermal activity (EDA), and contactless movement and physiology signals. Specifically, the PhD researcher will develop physiological-model-based artificial intelligence technologies
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Requirements We are looking for a motivated candidate with a strong sense of curiosity with: - A recently completed Master’s degree in Artificial Intelligence, Computer Science, Biomedical Engineering or
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to real-world scenarios, more specifically, to multi-speaker settings such as meetings or dialogues and also to multi-modal data, including text or video data. Publishing such data, which is essential to R
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dynamics and learning in artificial and biological neural networks, with the aim of: Unveiling the link between network structure and neural representations. Understanding the impact of structural and
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artificial and biological neural networks, with the aim of: Unveiling the link between network structure and neural representations. Understanding the impact of structural and energetic constraints on circuit