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Field
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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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related to AI Ethics. This fellowship focuses on examining the ethical, societal, and philosophical implications of artificial intelligence as it continues to evolve and integrate into various aspects
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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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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