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Field
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dedicate themselves to advancing the state of knowledge in their chosen research area. Criteria of the candidate: PhD in: Computer Science, Artificial Intelligence, Data Science or related fields
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at the intersection of artificial intelligence and the liberal arts to shape the future of AI engagement in higher education. The appointment will be for two years. The ideal candidates will have a demonstrated
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by information and communication technology which could lead 20% of global energy production to be consumed by the adoption of artificial intelligence. Therefore, “unconventional” computing
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biological domains is a must PhD in computational biology, computer engineering, computer science, (bio)statistics, artificial intelligence, physics, or related. Desire to push the frontier
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). We would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence. We offer Your job with impact: Become part of ETH Zurich, which not
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outcome sets. You will either need a PhD (or be nearing completion), in computer science, data science, artificial intelligence/machine learning (AI/ML), health data science, bioinformatics or a related
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learning, artificial intelligence, and related fields. Your research can be theoretical, applied or both. We offer independent positions within the groups of experienced supervisors, with opportunities
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, autocomplete them, and provide answers through a platform accessible to all researchers. By integrating Health, Biology, Artificial Intelligence, and Epidemiology, it targets three complementary use cases
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with Simulation-based Inference ), funded by the Multidisciplinary Institute for Artificial Intelligence (MIAI) through an AIforScience Research Chair. ADACSI will develop a multi-probe simulation-based
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developing a screening tool to support clinical evaluation for psychosis risk, powered by generative artificial intelligence. You will particularly support the development of a novel research method for