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Field
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for autonomous systems; field robotics; ● Cognitive Robotics: explainable artificial intelligence, perception-based interaction, and meta-reasoning to improve team performance; ●Human-Robot Interaction: Human
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computer science, statistics, computer engineering, artificial intelligence, machine learning, complex adaptive systems, agent-based modeling, agent-based computation economics, data science, computational
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scientific career. About us TUM’s new Computational Pathology and Medical Machine Learning lab (*2021) develops methods of machine learning (ML) and artificial intelligence (AI) for the analysis of digital
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. This fellowship focuses on examining the ethical, societal, and philosophical implications of artificial intelligence as it continues to evolve and integrate into various aspects of everyday life. The aim is to
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applications of artificial intelligence are particularly encouraged. Special consideration will also be given to proposals that investigate the connection between climate change and human health. Special
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professional deliverables ● Experience with causal inference, machine learning, and artificial intelligence is desirable ● Experience with clinical, EHR, or biobank data analyses is desirable
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of robotics, artificial intelligence and perception. Its three central innovation sectors are the future of health, the future of work, the future of environment, and the future of mobility. More than 50
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, “Mapping the Controllosphere” ( https://www.ugent.be/en/news-events/six-erc-advanced-grants.htm ) . The position is for 3 years with an opportunity to renew and is available to start January 2026
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visible interdisciplinary research center for machine intelligence, which is the integration of robotics, artificial intelligence and perception. Its three central innovation sectors are the future
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successful scientific career in knowledge-driven Artificial Intelligence, with a strong interest in ontologies and knowledge graphs. Job Description: Conducting innovative research on ontologies, ontology