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materials and manufacturing processes, especially for the transportation sector and medical technology. To this end, materials are tailored and manufacturing processes are designed to conserve resources
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publicly funded research project with our industry partner Encevo. In this project, the aim is to analyze and develop robust anonymization techniques that can balance privacy and data protection with data
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in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from
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with respect to high level research, training and innovation within manufacturing engineering, in an exciting combination of academic and industrial environments. The selected candidate will receive
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universities and industry leaders, the Hub aims to advance manufacturing productivity, resilience, and global competitiveness through innovative digital solutions powered by Digital Twins, Artificial
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opportunity focuses on advancing the field of large-scale additive manufacturing, utilising metal wire as the feedstock and electric arc as the heat source. The project aims to enhance our understanding
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visibility and meaningful interaction with national and European stakeholders from academia, industry, and public institutions. Aligned closely with the AI Factory Austria (AI:AT) — a collaboration between AIT
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research opportunity focuses on advancing large-scale additive manufacturing using metal wire as feedstock and electric arc as the heat source. The project aims to develop an innovative and efficient method
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, manufacturers and policymakers in enabling more sustainable user practices across product acquisition, use and end-of-life phases. About us The position is located at the Division of Environmental Systems
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engineering while collaborating in a publicly funded research project with our industry partner Encevo. In this project, the aim is to analyze and build a robust anonymization techniques in the context