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Kahl (Computer Vision, Chalmers), Kathlén Kohn (Algebraic Geometry, KTH), and Mårten Björkman (Robotics, Perception and Learning, KTH). The research focuses on developing novel machine learning methods
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and approximately 20 doctoral candidates. Research in computer vision began in the mid-1980s and currently encompasses (i) Geometry and computer vision (including analysis of video, audio, radio, and
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Analysis in One Variable, MATA32 Algebra and Vector Geometry and NUMA01 Computational Programming with Python. In all roles, you will be supported by the teacher responsible for the course who can answer
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Geometry, Analysis and Probability Theory, and Applied Mathematics and Statistics, and conducts successful research in pure and applied mathematics and mathematical statistics in a wide range of research
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and approximately 20 doctoral candidates. Research in computer vision began in the mid-1980s and currently encompasses (i) Geometry and computer vision (including analysis of video, audio, radio, and
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of study is how surface geometry, such as internal corners and other shapes, affects fire spread. The research includes both experimental studies at small and medium scales, as well as numerical
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control. Creating generalizable tools for various battery types, geometries, and chemistries. The scope of methods and applications will be tailored in collaboration with the selected candidate. The work
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the backbone of contemporary machine learning, yet conventional training methods often overlook the rich problem geometry that, when properly exploited, can enhance performance. In this project, we will, e.g