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PhD Research Fellow in AI-based virtual twins for monitoring, disease classification, and decision support in clinical practice (DC13) (ENDOTRAIN) PhD-position at the Sapienza University of Rome
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will also design and develop new software and prototype models. Research areas: Computer science, Simulation-based automated synthesis and verification of human physiology models, Artificial intelligence
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Institute and will be working together with researchers from QuSoft . This PhD project aims to push the state-of-the-art in quantum compilation, verification and/or classical simulation. The exact project
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impact, and discovery. Requirements: Requirements: PhD in a discipline matching the theme for the research stream by August 18, 2026. Demonstrated expertise in one or more disciplines that align with
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Description Main supervisor: Ants Kallaste Co-supervisor: Anton Rassõlkin The research Within this thesis, the PhD candidate will learn about the control and application of additively manufactured special types
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techniques with open-source autonomous driving software (for sim- ulation and testing) Applicants should fulfil the following requirements: a master’s degree in engineering sciences (preferably in computing