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that inform the development of products, services and regulations. This research explores how real-world user behavior can be more effectively integrated into life cycle assessments to support designers
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embodied AI agents can dynamically adapt to group behaviors and learning needs The project will combine observational studies, interaction design, and experimental evaluations to develop embodied AI-driven
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will use machine learning methods to develop affinity ligands. These methods have been transformative for protein design, allowing generation of novel proteins which can suit a precise need. In this 4
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part of the MARTINA project and will explore the application of co-design optimized machine learning and neuromorphic solutions for applications that are challenging to address using conventional
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systems. We will also conduct LCA and environmental impact assessments of our material and conduct user studies to acquire practical feedback on panel designs. The final biobased wall demonstrator
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research in system and circuit design for next generation wideband radio frontends. The position allows access to fabrication in multiple semiconductor technologies provided by international partners inside
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generative models, AI/ML, polymers, and/or materials science Documented track record of research in the area of the project What you will do Design and implement deep learning (DL) workflows for learning from
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: Knowledge in deep generative models, AI/ML, microscopy, and/or molecular design Documented track record of research in the area of the project What you will do Design and implement deep learning (DL
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sectors, the research aims to enhance traffic safety and integrate it into occupational health and safety frameworks using a co-design methodology. About us The research of the Division of Design & Human
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Looking for your next challenge? Become a part of a team that’s driving change and innovation every day. This PhD position is part of the WASP-WISE NEST project RAM³ – a multidisciplinary research