96 electronics-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in Austria
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visionary field of the future with high social and economic relevance. Excellent research and technology foundation as well as a dedicated team to implement innovative ideas. Significant opportunities
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to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 28.09.2026 Laboratory & Technology
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, the work focuses on topics such as technology (digitalization, automation) and society, (normative) social theories, media ethics, political ethics, and business ethics. Your future tasks: You will actively
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. Our Research Group Workflow Systems and Technology (WST) brings together dedicated professionals who are committed to advancing science and creating a positive impact on society. We value respectful
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to welcome you to our team. Our Research Group Workflow Systems and Technology (WST) brings together dedicated professionals who are committed to advancing science and creating a positive impact on society. We
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What to expect: The minimum gross annual salary on a full-time basis (38,5 h / week) according to the collective agreement is EUR 56.784,--. The actual salary will be determined individually, based on your qualifications and experience. Highlights of our employee benefits include a canteen and...
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As Austria's largest research and technology organisation for applied research, we are dedicated to make substantial contributions to solving the major challenges of our time, climate change and
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”. Your future position will be in the Polymer & Composite Engineering (PaCE) group, characterised by excellent research in polymers and composite materials as well as in applied research in the area of
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measure gravitational effects on entangled photons for shining light onto the interface of quantum physics and gravity? Can we exploit quantum photonics technology for novel quantum machine learning
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of language, multilingualism and spatial cognition, including entorhinal cortex based spatial grids and cognitive maps. The ideal candidate holds a degree in Biomedical Engineering, with a PhD in Natural