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the assessment of various sensors to determine the most beneficial. Pre- and post-testing, comprehensive surface chemical and mechanical analyses will be required to characterize the wear and friction properties
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and simulation of laser manufacturing processes (e.g., laser cladding, additive manufacturing) and experimental validation using advanced facilities (high-speed optical and infrared imaging, in-situ
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, Matlab, C++) for developing new simulation frameworks or image processing algorithms Experience in or willingness to learn independently operating additive manufacturing systems (DED and LPBF), including
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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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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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work closely with another PhD student and a post-doc to collectively investigate the failure mechanisms and the generation of high-quality sensor data. Your profile MSc in Materials Science or Mechanical
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of the lower back and one of the most common reasons for spinal surgery in people over the age of 65. However, the choice between the two major types of surgical treatment - decompression or fusion - remains con
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techniques to characterize the detected changes. You will work closely with another PhD student and a post-doc to collectively investigate the failure mechanisms and the generation of high-quality sensor data
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robotics and a proactive approach to exploring new technologies. Fluency in French and/or German. Our offer We offer a fully funded 1 year post-doc position with the possibility of extension at Empa
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. Empa is a research institution of the ETH Domain. The Nanomaterials Spectroscopy and Imaging group at the Transport at Nanoscale Interfaces Laboratory is offering a PhD position focused on demonstrating