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, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
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design, or a related field. We welcome candidates from diverse backgrounds, demonstrating strong collaboration skills and the ability to acquire new skills and technologies. Outstanding spoken and written
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multimodal data. Your responsibilities include: Developing and applying machine learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing
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of human biology. D-HEST emphasises interdisciplinarity, translation, and technological innovation with the aim of improving quality of life. Situated in the heart of Zurich, Switzerland, the department
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artificial intelligence, architectural design, or a related field. We welcome candidates from diverse backgrounds, demonstrating strong collaboration skills and the ability to acquire new skills and
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learning to quantify uncertainty and forecast potential faults. c) Trustworthy Autonomous Recovery: Autonomous self-healing must be verifiable; this challenge is met by designing AI-driven decision engines
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on practical feedback linearization with limited or imperfect models. Learning-enabled control dynamics Embedding optimization and learning algorithms (e.g., SGD, Bayesian updates) into control design and
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Research and Innovation (UKRI), Entrepreneurship, Art and Science for Environmental Sustainability (EASE) is a radical, 24-month interdisciplinary initiative designed to transform how climate science is
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of automated vehicle fleets and the design of future work organization. Requirements You enjoy working independently, want to drive new ideas forward, and are willing to acquire new skills to achieve your goals
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civil servants to access research and learning opportunities. The project will help make Policy to Research (P2R) offerings more visible, accessible and connected. The postholder will play a central role