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to develop such a health condition monitoring system to assist patients’ recovery management and ultimately reduce the complication and mortality rate and increase their quality of life after hip fracture
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, and to evaluate the clinical performance of new technology in new clinical applications. The group counts with wide-ranging expertise in image processing, reconstruction, and analysis, as
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cryptography guarantees better performance and faster speed for encrypting data. Without doubt, AES (Advanced Encryption Standard) and Keccak/SHA-3 (Secure Hash Algorithm 3) are the two most used and famous
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accurate constitutive models for the bending behavior of molten reinforced thermoplastic plies, which in turn depends on careful rheological characterization. In this project you will: Perform rheological
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prospective breast cancer screening trial focused on optimizing mammography interpretation with AI assistance. In this project, we will perform a prospective trial at the Dutch Breast Cancer Screening Program
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patients’ recovery management and ultimately reduce the complication and mortality rate and increase their quality of life after hip fracture surgery. This PhD position will focus on the health monitoring
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under which patterns of user behaviour, infrastructure performance and demand drivers the use of infrastructure will change develop an assessment approach to determine the benefits a lower demand can
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—combining the compliance and safety of soft systems with the precision and performance required for impactful applications. The PhD candidate will be encouraged to actively shape the direction of the research
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is to investigate localized flow and crystallization processes of PCMs in devices under different conditions with advanced 3D imaging tools like CT and NMR imaging, and to couple this with performance
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the NGF-Call AiNed ELSA Labs). The ELSA4TI Lab is led by Prof Ming Cao, Director of the Jantina Tammes School of Digital Society, Technology and AI. ELSA4TI focuses on the ethical, legal, social and