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Join us in shaping the future of 6G networks through cutting-edge research at the intersection of artificial intelligence, cloud systems, and next-generation communication infrastructures. In
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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 and Wallenberg National
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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 health
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General description of the DDLS Fellows programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
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application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. Your tasks will include conducting independent research in the subject area at
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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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application of novel data-driven methods relying on machine learning, artificial intelligence, or other computational techniques. Your tasks will include conducting independent research in the subject area at
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and programming experience (e.g. R, Python) are required. Experience with psychophysiological methods, such as eye tracking and skin conductance, is advantageous. Excellent academic merits, including
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Master of Science degree in Computer Science with a specialization in Machine Learning and Artificial Intelligence. We are looking for someone with knowledge of: High-dimensional random representation
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observation data to advance our understanding and monitoring of forest disturbances. You will work with large-scale satellite datasets, particularly Sentinel-2 time series, and explore how artificial