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the Job related to staff position within a Research Infrastructure? No Offer Description At University of Siegen, Faculty IV "School of Science and Technology", ETI, Embedded Systems, we are looking
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Materials’ as well as ‘Adhesive Bonding Technology and Surfaces’. Research and development work is focussed on providing customers with reliable and application-oriented solutions. Products and technologies
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Policies”, led by Prof. Dr. Jan Steckel who is also Professor at TU Munich’s School of Social Sciences and Technology. The position is embedded in the research project “EVIDENCE – Evidence based research
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in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The Konrad Zuse School of Excellence in reliable AI (relAI) offers fully funded
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scientists and automation specialists to develop a reliable, fast, material testing process Your Profile: Excellent masters degree in Chemical Engineering, Materials Science, Data Science, Mechatronics or a
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experiments. Close collaboration with chemists, engineers, and data scientists will enable the creation of a robust, high-throughput framework for future catalyst and layer development and efficient
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management of bridge portfolios. You will create tools that transform complex data into reliable insights for infrastructure safety and sustainability. The project is a collaboration between the Engineering
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The Leibniz-Institut für Kristallzüchtung (IKZ) is a leading research institution in the area of science & technology as well as service & transfer of crystalline materials. Our goal is to enable
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collaboration with the Department of Ophthalmology at the UKM and the Institute of Pharmaceutical Technology and Biopharmacy at the University of Münster, focuses on the treatment of retinal calcifications, which
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sustainable bioeconomy. The four PhD projects are: Your Profile: Master’s degree (or equivalent) in computer science, applied mathematics, physics, engineering, biology, plant and agrosphere sciences