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manufacturing technology for producing small to medium-sized thermoplastic composite components in high volumes. Process simulation software is being developed for virtual optimization of tool design and material
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, and computer vision for high-tech greenhouses. The goal of the LEAP-AI project is to collaborate with this team to design the next generation of autonomous greenhouse control systems and will culminate
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relevant innovation. Information Protein tumor markers (TMs) in blood offer a promising, minimally invasive approach to support clinical decision-making in lung cancer. However, their broad clinical
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therefore focus on a key challenge in this domain: the design of next generation decision support tools for battery operators, focusing on the participation in multiple consecutive short-term electricity
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control. This project aims to characterize the cellular disease mechanisms for SNAREopathies, especially for the most prevalent group (mutations in STXBP1), and to design intervention strategies. Our
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energetic constraints on circuit function. Deriving design principles for neural networks performing complex tasks. We employ computational and analytical methods from applied mathematics and physics
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electricity markets to focus. In this PhD trajectory, we therefore focus on a key challenge in this domain: the design of next generation decision support tools for battery operators, focusing
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, you will combine continuum mechanics, machine learning, experimental imaging, and mechanical testing to design and characterize self-sensing soft matter capable of revealing its mechanics from
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the University, offering first-rate education and research in a wide range of science and engineering disciplines. The mission of the Zernike Institute for Advanced Materials (ZIAM) is the design and scientific
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relevant data for the above described technology development and its feasibility test, the PhD candidate will also design medical research experimental protocol for both healthy control population and target