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new paradigm in the validation of autonomous driving software, focusing on the intersection of Large Language Models (LLMs) and Autonomy 2.0 / End-to-End (E2E) approaches. While E2E models promise
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communication networks. AI and machine learning integration: Apply surrogate models, ML, and physics-informed neural networks for re- al-time operation and predictive analytics. Safety and cybersecurity
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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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technology and science, wood chemistry, forestry. Familiar with methods, procedures and safety of wood chemistry, wood technology or composite material technology, materials technology and science which allows
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for SMR waste streams and radiological impact methodologies. Data-sharing agreements will be established with industrial partners and waste management authorities to secure radioactive waste in- ventory
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of electrical systems and system analysis to find possibilities for electrification and decarbonization diagnostics and monitoring of equipment and systems cyber security, 5G data communications, and artificial
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environment aligns with the Estonian smart specialization growth area “ICT horizontally through other sectors.” Specific aim and scientific approach The aim is to enable PEB and PED through innovative
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endorsed by industrial partners in Estonia and Hungary. Research field: Information and communication technology Offered by: School of Information Technologies. Thomas Johann Seebeck Department
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initiatives (incl. Singapore and Barcelona). Research field: Information and communication technology Offered by: School of Information Technologies. Department of Software Science Description Supervisor
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willingness to provide assistance in organizational tasks relevant to the project. B2 English level certificate if English is not native language and language of instruction in MSc study was not English; (The