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Field
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communications Image research and the acquisition of digital files, licenses, and permissions Your profile MA degree in humanities or social sciences, ideally in the history of science/technology, history, STS
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programming for workflow automation and data handling Familiarity with high-content imaging and quantitative analysis is a plus Interest in interdisciplinary approaches at the interface of biology, technology
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quantitative live-cell imaging to probe and model these processes. By combining stem cell biology with cutting-edge microscopy and physical concepts, we aim to establish a predictive framework for tissue self
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented
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use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography. Industry
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Be part of change You will develop, investigate and optimize processes for the realization of fiber preforms using MCVD technology as well as gas-phase or solution-doping techniques for active
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learning Solid knowledge of scientific software engineering Expertise in analyzing omics data and/or imaging data Experience in conducting, ideally managing, interdisciplinary projects and communication Your
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. Here you partly work on your tasks on-site in our institute/ machine park. What you will do Analyze acquired microscopic and video tool wear data Investigate image processing techniques such as spatial
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management and system design, energy process engineering and storage, grid planning and grid operation, grid stability and power converter technology, and thermal energy technology. Around 450 scientists
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distributed energy storage like stationary batteries and hydrogen storage to maximize energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven