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Field
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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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Preparation and documentation of results What you contribute You are studying mechanical engineering, industrial engineering, computer science or a comparable subject You have good knowledge of Python You have
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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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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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The Fraunhofer IEE in Kassel conducts research in the fields of energy management and energy system technology, focusing on: energy informatics, energy meteorology and geoinformation systems, energy
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images and CNC-integrated camera videos. Your task will be to generate AI pipelines to detect and measure flank wear according to ISO DIN 8688-2 in centralized, individual, and federated learning scenarios
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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
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technology, communication and artificial intelligence are combined, fostering synergies with the local industry and aiming for close cooperation with the city of Ingolstadt and its partners. With research
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02.07.2025, Academic staff The Professorship of Energy Management Technologies at TUM’s School of Engineering and Design is looking for a Postdoc (f/m/d) in Energy Informatics. You are passionate