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characteristic classes by global currents obtained from generalized Monge-Ampère type products. The project has connections to both commutative algebra and complex geometry. About the department of Mathematical
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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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for culture and creative domains. These domains may include sound, music, visual art, 3D graphics, movement, or multimodal combinations thereof. The research will employ a mixed-methods approach: the search
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for Transport Code Interfaces package) - Maintain and further develop python based visualization tools for ETS (runtime, postprocessing). - Develop the graphical user interface for ETS - Integration and support