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of Sweden’s largest and most ambitious research initiatives, focusing on using data, computational methods, and artificial intelligence to study biological systems and processes. Stockholm University strives
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of the PhD student will touch upon various topics multi-body dynamics, optimal control theory, machine learning and robotics and artificial intelligence in general. The focus is broadly upon the development
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, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab
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-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human
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include - but are not restricted to - wireless communication, signal sensing, energy-efficient computing systems, artificial intelligence, and machine learning, which has resulted in many collaborations
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. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming
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-driven methods relying on machine learning, artificial intelligence, or other computational techniques. Lund University foresees that the outcome of the research will contribute to gained knowledge
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are looking for candidates with a PhD in Computer Science, Visualization and Media Technology, Machine Learning or a closely related research field. A strong background in machine learning and visual data
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on automated remanufacturing for the scaling of circular textile production by using methods and models from, for example, operations research or artificial intelligence/machine learning. Identify relevant
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to Amsterdam may be possible. Your profile We are seeking an ambitious, innovative, and enthusiastic researcher with: A PhD in a relevant field (e.g., computer science/AI, cognitive science, or a related area