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to the body of knowledge by enhancing the safety, relia- bility, and efficiency of automated vehicles by developing a collaborative multimodal perception system. This system leverages data from multiple sources
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2 Oct 2025 Job Information Organisation/Company Tallinn University of Technology Research Field Engineering » Control engineering Engineering » Electrical engineering Engineering » Systems
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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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2 Oct 2025 Job Information Organisation/Company Tallinn University of Technology Research Field Computer science » Programming Computer science » Other Engineering » Control engineering Engineering
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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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new paradigm in the design, testing, and validation of Electronic Control Units (ECUs) for Connected and Autonomous Vehicles. By developing high-fidelity Digital Twins (DTs) that combine functional
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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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. 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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from on-board and off-board sensors have been collected and analysed. However, such raw data collected from multiple sensors is often disturbed and does not indicate the ship performance at calm water
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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