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training, applied learning opportunities, and executive education for practitioners and policymakers. Housed in the Office of the Provost, CHRIS provides central leadership, infrastructure, and
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Nair, to study how machine learning models and neural circuits in the brain process states of emotion. The Nair group combines cutting-edge systems neuroscience tools with the development of new AI
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knowledge-grounded reasoning with flexible machine learning Tools that reduce manual burden while preserving traceability and clinical interpretability This position offers the opportunity to publish novel
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for full Stokes vector detection. The candidate will focus on optical simulation, cleanroom nanofabrication, device integration, optoelectronic testing, and machine learning-driven signal reconstruction
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stakeholders. Key Responsibilities • Develop and validate deep learning and machine learning models for behaviour modelling, including foundation models, graph neural networks (GNNs), and sequence models applied
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models for graphs. As part of Karsten Borgwardt's Department of Machine Learning and Systems Biology, these methodological advances will provide the foundation for a broad range of downstream analyses
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support the development of AI-driven and data-driven approaches for the discovery and design of functional materials. The role will involve the development and application of machine learning models, high
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with leading machine learning frameworks and modern AI environments, including multi-GPU model training and large-scale inference on dozens to hundreds GPUs, are required. Additional Qualifications
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intelligence, including machine learning and computer vision, robotics, and physics-based modelling, the DISC Lab pioneers new methods for monitoring, digitalization, and automation in construction. We
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Proficiency in Cadence Proficiency in Python and Matlab Experience in implementing algorithms for machine learning Good written and oral communication skills We regret to inform you that only shortlisted