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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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advantages. We will provide the necessary hardware and software for the real-time control of the machine, but the candidate will be responsible for developing and implementing the control algorithms. A working
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the democratic strand of digital government research. This PhD research is to utilize and further develop the existing Strategy Map by utilizing it for the description and validation of world-leading Smart City
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embedded hardware. The ultimate goal is to demonstrate the viability of the developed approach in multilayer electrospinning. The project is part of Estonian Research Council project PSG897 “Cogni-E-spin
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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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project seeks to turn a problem into an opportunity, by developing digital tools and Life Cycle Assessment (LCA) models to (1) minimize waste and (2) accelerate circularity and sustainable resource use in
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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