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of materials and devices during switching, combining methods such as laser pump and X ray probe total scattering, WAXS and SAXS, imaging, and femtosecond X ray diffraction to probe structure and dynamics in real
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data without compromising individual privacy. Using unique, nationwide Danish health registry data, you will work with spatial data, such as disease maps and medical imaging. Such data are highly
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this position, we seek to strengthen the platform by embedding/developing additional tools for data processing and analysis. The starting point for the developments will be our EasyNMR platform (see
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within this field. Your work tasks In this position you will conduct research within Computer Vision and Deep Learning, with a particular focus on the development of an AI-powered framework
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science or similar area is required. The candidate is expected to have a profound knowledge on the majority of the following topics: Embedded systems programming Robot Operating System (ROS) experience Medical imaging
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challenges; (2) Technological change and digital transformation, with an emphasis on AI. In a broader sense, we address societal challenges such as corruption, regulations, international conflicts and tensions
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position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here The appointment process at
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contribution to proteinuria-induced kidney injury. Our research integrates molecular and cellular biology, mouse models, advanced imaging, and omics technologies to uncover mechanisms driving chronic kidney
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strategic focus of the department is to be a leading force within digital health and to be well-known for medical doctors and engineers collaboratively developing solutions together. The department has
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fracture processes at micro and meso scales influence the structural response at an engineering scale, and to use this insight to support the design of damage tolerant composite structures. You will be