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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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), 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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, 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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Erasmus MC (University Medical Center Rotterdam); Published yesterday | Netherlands | about 6 hours ago
for synthetic data generation across diverse data types and clinical use cases. As a PhD candidate, you will conduct research at the intersection of clinical data science and artificial intelligence, with a
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programme, you work in an interdisciplinary team with researchers from the fields of linguistics, psychology, and artificial intelligence. You receive assistance from student assistants in data collection and
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using headturn-preference experiments. In this research programme, you work in an interdisciplinary team with researchers from the fields of linguistics, psychology, and artificial intelligence. You
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the feasibility of novel ultralow-power electronics based on quantum-mechanical tunnelling processes in advanced CMOS, which has a strong potential for Internet-of-Things devices and edge-artificial intelligence