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product quality attributes, such as remaining shelf life. Process measured sensor data of commercial cold chains, analyze data for variability, and reformat data in databases. Use the simulation-based
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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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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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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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design Interest in and comprehension of Earth system processes and environmental impacts Excellent communication and collaboration skills and fluency in English. Our offer We offer a dynamic and
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and inorganic powder-based materials for structural and functional applications. You will study and characterize the powder and formulation dependent granulation process to develop advanced ceramic
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on different topics related to wound healing. Project background Wound healing is a complex process in which a cascade of physiological events takes place to restore injured skin to its full functionality
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is a key-enabling technology for advanced manufacturing. In order to address increasingly complex demands on joining (dissimilar materials combinations, miniaturisation, extreme operation conditions
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of this project, you will work with a team of scientists with backgrounds in chemistry, cell biology and microbiology as well as with clinical partners on the development of engineered corneal transplant to treat