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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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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
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interested in applicants with experience in either (i) high-performance magnetohydrodynamic simulations or (ii) the analysis and imaging of Very Long Baseline Interferometry data, but outstanding candidates
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procedure All applications must be sent via the electronic recruitment system, using the link below. The application must include: A complete, numbered list of publications and work in progress (indicating
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in using natural language processing (NLP) methods on large-scale text data. Candidates with substantial experience in NLP and text-based analysis will be particularly well suited to the project
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potential of humans and artificial intelligence (AI) for the rapid and reliable construction of digital systems, guided by rigorous mathematical foundations. Our current main instrument to pursue