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clustering. The recruited candidate will be enrolled in a graduate school in machine learning through WASP. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research
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of the Software track of the Wallenberg AI, Autonomous Systems, and Software Program (WASP), and the PhD student will be enrolled in the WASP graduate school offering advanced courses and extensive
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applications such as Neural Rendering and Robotics. The project is part of the Software track of the Wallenberg AI, Autonomous Systems, and Software Program (WASP), and the PhD student will be enrolled in
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an assistant professor in knowledge-based AI methods, funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). Application deadline is 2024-06-18. Background The department is home to a broad
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machine learning through WASP. Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated
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, Autonomous Systems, and Software Program (WASP), and the PhD student will be enrolled in the WASP graduate school offering advanced courses and extensive networking opportunities. For more information see
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examined through A/B testing. The project is part of the Software track of the Wallenberg AI, Autonomous Systems, and Software Program (WASP), and the PhD student will be enrolled in the WASP graduate school
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technology. The PhD student position is funded by WASP (see below) via the project High-Confidence Transformer-Based Compilation of Partially Ambiguous Programs. Read more about the project: https
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/MLX track of the Wallenberg AI, Autonomous Systems, and Software Program (WASP). WASP is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic
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/MLX track of the Wallenberg AI, Autonomous Systems, and Software Program (WASP). WASP is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic