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the Job related to staff position within a Research Infrastructure? No Offer Description Summary The goal of this research is to enhance the safety and efficiency of automated vehicles by developing a
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frameworks for safe automated mobility. Research field: Production and materials engineering, robotics, transport and logistics Offered by: School of Engineering. Department of Mechanical and Industrial
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. The candidate will explore which data fields and workflows are essential for widespread adoption, how to parameterize LCA templates for diverse building elements, and how accessible automation can support dynamic
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agile, efficient, and robust. In addition, the candidate will ensure that DT–driven development aligns with key safety and cybersecurity standards. They will contribute to automated validation workflows
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themes include: Ethical governance of AI in services Responsible AI-driven personalization and automation Service efficiency with AI without eroding trust or human-centered values Implications of AI
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DigiAudit (where automated data collec- tion was established for 45 educational buildings in Tallinn and Tartu). Modeling current and future potential energy production of renewable energy sources around the
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: Cognitronic Electrospinning System for Automated Quality Control of Nanofiber Product”, which aims to create the technologies for scalable inline quality control of electrospun nanofiber meshes. The project is
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. The project is part of Estonian Research Council project PSG897 “Cogni-E-spin: Cognitronic Electrospinning System for Automated Quality Control of Nanofiber Product”, which aims to create the technologies
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industry, including industrial robotics, automation, 3D printing, machine vision implementation of energy and resource efficiency, including digitization of supply chains, mapping of opportunities