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Vacancies PhD position on Physiological-Model-Based Artificial Intelligence for the recovery monitoring of elderly after hip fracture surgery in SMARTTEST Key takeaways A hip fracture in elderly
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at the interface of applied mathematics and process optimization in the medical laboratory context. Your contributions will be to gain mathematical insights and ensure that these translate into real-world impact
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critical processes that significantly influence the usability of steel sheets are annealing and temper rolling. Annealing resets the material's microstructure, enhancing strength and formability, but it can
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the steel making requires changes in the processes that have been used for decades if not centuries. Current vision on how to implement these changes is still developing but what is clear is that the raw
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technology in high-tech manufacturing, enabling lightweight, durable, and automation-friendly assembly processes. Compared to traditional joining methods, adhesive bonding offers advantages such as reduced
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to translate your findings into more efficient production processes and better quality control. Your work will directly promote sustainability through reduction of material waste in production and pigment
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interfaces to social robots and from sensor technologies to interactive sports and play systems. Many projects at the HMI-group delve into how such interactive technologies may be used to support or better
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of application. Proof of English proficiency About the department The PhD student will join CAES, a group working on the most efficient and effective computer architectures of the future, from large-scale data
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, also allow for synergies with industrial production processes (e.g. steel, ammonia, etc.) where waste heat or steam is available. However, key challenges remain for the successful deployment