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project is a joint initiative of the following institutions Ilmenau University of Technology, the Max Planck Institute for Biogeochemistry, the German Centre for Integrative Biodiversity Research (iDiv
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the UKRI rate (£19,237 for 2024/25) and tuition fees will be paid. We expect the stipend to increase each year. The operation of safety-critical components is often contingent on the avoidance
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University of Technology Swinburne’s strategy draws upon our understanding of future challenges. We choose to build Swinburne as the prototype of a new and different university – one that is truly
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experience with X-ray methods and imaging Have preferably some additional experience in the biomedical domain and/or in image processing Have preferably some experience using ML models and tools (e.g
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scientific advice of the highest quality within building design and processes, building construction and safety, building energy and installation, solid mechanics, fluid mechanics, materials technology
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-picture goals with practical implementation. Advanced skills in planning, securing funding, and coordinating resources to move projects forward will help you become a valuable contributor. This position is
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publications and research experiences in structural dynamics and structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data
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on AI-enhanced automation of transmission electron microscopy imaging and spectra acquisition, developing AI protocols based on ML, DL and computer vision within the project EDISON. Main Tasks and
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friction models. Integrating Experimental Data: Collaborate with experimental teams to incorporate data from calcium imaging, confocal microscopy, and high-resolution video recordings. Use experimental data
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electrical/mechanical engineering. Expertise in numerical electrical machine design tools (Ansys, JMAG, .etc) as well as corresponding scripting skills are desirable. Experience in electrical machine prototype