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able to learn and understand the technical details of MRI acquisition and reconstruction and advanced deep learning. You must: have an MSc degree in Artificial intelligence, (Medical) Physics, or a
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infrastructure, including facility blueprints and model factories. Proficiency in the integration of automation technologies, including robotics, real-time data analytics, artificial intelligence/machine learning
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the most important. Our focal subjects: sustainable aerospace, big data and artificial intelligence, bio-inspired engineering and smart instruments and systems. Working at the faculty means working together
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. Our focal subjects: sustainable aerospace, big data and artificial intelligence, bio-inspired engineering and smart instruments and systems. Working at the faculty means working together. With partners
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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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such as physics and biology to interdisciplinary disciplines such as artificial intelligence, industrial engineering and management. The FSE is one of the largest faculties of the UG, home to 14 BSc
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knowledge. Within the Faculty of Science and Engineering, a 4-years PhD position is available at the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence with the topic
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Engineering (FSE) offers education and research in a wide range of science disciplines, from traditional disciplines such as physics and biology to interdisciplinary disciplines such as artificial intelligence
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relevant field like neuroscience, artificial intelligence, computer science, or a related discipline. You possess strong programming skills, particularly in Python, and have experience with common machine
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admissions) high-quality ICU data set. work with a large cardiovascular ICU database, containing over 20,000 ECGs and CT scans and use advanced data-driven methods, including artificial intelligence (AI) and