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machine learning, computer vision, multimodal perception, probabilistic modeling, and interpretable artificial intelligence. The research will be conducted in collaboration with leading national and
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contextual and behavioral cues to understand human actions, anticipate future behavior, and reason under uncertainty. The methodological scope includes machine learning, computer vision, multimodal
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University Lecturer in Digital Humanities Employer UNIVERSITY OF HELSINKI Location Helsinki, Finland Closing date 3 Oct 2026 View more categories View less categories Academic Discipline Computer
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actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The Department of Computer Science is
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inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The Department of Computer Science is an internationally-oriented community and home to world
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doctoral researcher(PhD student) with a strong background in probabilistic machine learning, statistics, applied mathematics, computer science, or a related field, and strong programming skills, to
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foundational computational literacy—including programming, data handling, quantitative methods, and confident research use of Python, R, Git, and Jupyter—is a baseline for the appointee, not the position’s
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evaluation of the additional losses in the variable-speed electric machines Requirements Eligible candidates should have Master’s degree in electrical engineering, computer science, materials sciences, or
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atomistic simulations. This project requires creative thinking and programming, as well as technical expertise in materials simulations, electron–phonon physics, and machine learning. We further appreciate
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mathematics, computer science, or a related field, and strong programming skills, to work on biology-informed machine learning for dynamical systems (see project description below). The position is based at