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understanding of electrical and electromagnetic phenomena, the related modelling methods and relevant practical applications. We are the largest university-level teaching organization in our field in Finland
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Project tasks and objectives: Industry objectives: To investigate sensor configurations and machine learning methods for sensor fusion-based machine perception for real-time operation, including
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Agents and remote interfaces to support the MaaS Consumer to remotely monitor and control parameters provided by the MaaS Provider. Requirements The candidate must possess doctoral degree (PhD) in any
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your application and look forward to welcome you to our open stimulating research environment. Requirements Candidates must hold an internationally recognized PhD degree in quantum physics research
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: Industry objectives: To investigate methods and tools for creating semantic 3D maps of the worksite and how to maintain them over extended periods. Science objectives: 1) Explore approaches for modelling 3D
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description We seek an ambitious and visionary researcher to strengthen our expertise in multi-robot systems for non-road environments. The successful candidate will develop novel methods and technologies
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, the candidate should be open to interdisciplinary collaboration and comfortable with working in multi-method research contexts. Additionally, due to the specific framing of these positions, researchers accepted
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://www.infofinland.fi/en/landingpage Novatron develops, manufactures and supplies machine control systems, related software and cloud services for infraconstruction sites. Novatron’s main products are Xsite® machine
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and systems (e.g., with life-cycle assessment tools), developing and optimising methods for sustainability evaluation, and conducting techno-economic assessment for process and product development. Your
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. Science objectives: 1) To develop methods of building traversability costs from real-time sensor data for a given machine and sensor modality; 2) To develop framework for rigorous and efficient integration