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dedicated to developing sustainable polymers and materials via visible-light-driven processes. The core focus of this role is the design and synthesis of novel, recyclable polymeric materials using low energy
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group Lewis acids for applications in ligand design and catalysis. Additional responsibilities include preparing manuscripts, developing research proposals, and supporting graduate and undergraduate
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worldwide to explore postdoctoral opportunities at leading science and technology institutions in Korea. Launched by the Korean government, the InnoCORE program is a large-scale national initiative designed
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research, and justice-based technology design frameworks. Depending on interest and goals, the candidate may also co-teach or lead one or more sections of an undergraduate course in the ECS department, with
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developing cutting edge analytic tools for studying the genome transformation and genomic activities. 70% - The candidate will be mainly focusing on developing machine learning methods and/or AI algorithms
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considerations from a data analysis and instrument optimisation perspective. Teach users how to operate imaging devices Understand image formation processes to design methods for optimal information retrieval from
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computing, machine learning for hardware design, integrated circuit design, or hardware–software co-design. Experience with semiconductor design tools, circuit/system modeling, or large-scale hardware design projects
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materials modeling and mechanics, including molecular simulations, multiscale modeling, and/or machine‑learning‑based materials design Demonstrated publication record in peer‑reviewed journals relevant
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projects within the CUS related to urban sustainability, environmental monitoring, and urban resilience. Key Duties • Design and implement machine learning and deep learning models for hydrological
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Be part of the future of creativity support for professionals at Aalborg University! This interdisciplinary project investigates how generative AI can be incorporated into the building design and