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on what characterizes intelligence in humans and AI and develop neuro-cognitive methods and formal models to describe the similarities and differences? Join us! We are looking for a PhD candidate to join
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many approaches in explainable AI and neuro-symbolic methods focus on similar issues, they are prone to learning concepts with the wrong intended meaning, especially when different concepts
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team as a PhD candidate to work on beyond the state-of-the-art model distillation and robustness methods, enabling efficient, reliable inference for challenging real-world problems in the semiconductor
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remains fragmented, with sectors operating under different institutional structures and priorities. HERITOUR investigates how current collaborations function and how cross-sectoral policies can be developed
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remains fragmented, with sectors operating under different institutional structures and priorities. HERITOUR investigates how current collaborations function and how cross-sectoral policies can be developed
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remains fragmented, with sectors operating under different institutional structures and priorities. HERITOUR investigates how current collaborations function and how cross-sectoral policies can be developed
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(algorithms), and statistics. During this project, you will develop new methods to construct phylogenetic networks and generalize mathematical frameworks of phylogenetic network classes to tackle related
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AI methods to scale this up across large geodata repositories, enabling users to explore various ways maps can be reused to answer different kinds of questions. We are looking for a motivated PhD