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CML at the Faculty of Science CML is a global leader in the field of sustainability assessment, especially Life Cycle Assessment, Material Flow Analysis and Environmental Input-Output Analysis. It
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can focus on learning for planning, risk-aware motion planning under uncertainty, learning of interaction models, multi-robot learning, multi-modal prediction models, or other related topics
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of technology and the act of translation. The recent advances in large language models and generative AI has highlighted the need to understand how the creative mind works when translating and the differences
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large language models and generative AI has highlighted the need to understand how the creative mind works when translating and the differences experienced by readers and viewers when working with
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Help shape the future hydrogen economy by exploring the dynamic values at play in this complex transition. Job description The hydrogen economy is gradually materializing. What are the underlying
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, and engineered stem cells to produce vascularised, centimetre-scale pancreatic organoids. These will serve as models to test new therapies against diabetes and as regenerative grafts for transplantation
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structural system. Provide pragmatic solutions for the flight vehicle test bed by selecting the right materials and designing subsystems (e.g. the propulsion system) capable of being integrated in the concise
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Postdoc in Recycling Plastic Waste via Mechanochemistry Faculty: Faculty of Science Department: Department of Chemistry Hours per week: 36 to 40 Application deadline: 26 September 2025 Apply now