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learning systems. They will evaluate systems whose behaviour keeps moving, and track, from the inside, whether the structures that carry their capabilities and safety properties hold up under the change. You
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the supervision of the Principal Investigator, including but not limited to the following: Develop new computational tools through the application of AI / deep learning / machine learning / statistics on spatial
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in the research project - “Neurocognitive mechanisms of hierarchical and linear artificial grammar learning: Insights for natural language syntactic learning and development”. They will be required
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Duration: 1-year appointment with possibility of renewal for a 2nd year. About the Department Our research group works at the intersection of machine learning, medical imaging, biomedical engineering, and
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at least one mainstream deep learning framework (e.g., PyTorch, JAX) • Expertise in (atomistic) thermodynamic, kinetic simulations or computational chemistry • Ability to independently design and
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will assist the project leader in the research project - “AI-augmented tool to foster emotional awareness in children’s collaborative learning”. They will be required to: (a) conduct co-design
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geometry Lena Bunina Model theory, AI in mathematics, algebraic groupsmodel theory of groups, Chevalley groups, applications of AI to mathematics Shira Faigenbaum-Golovin Manifold learning, shape space
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funding. The Lead Researcher for the JusticeForward initiative leads applied research, student-integrated learning, and public-facing dissemination for JusticeForward: Safer Students Workforce Initiative, a
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project - “Safe-assured learning-based deep SE(3) motion joint planning and control for unmanned aerial vehicles”. He/she will be required to: (a) assist in literature review, data collection, algorithm
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pediatric health services research and child population health research via didactics, structured mentorship, experiential learning through conducting rigorous and ethical research, and professional