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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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necessary to consider also the control methods through which it is possible to increase both machine efficiency and controller efficiency. The overall goal of the project is to develop the control methodology
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD project aims to develop, model
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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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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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minimally capable of running on the edge, ideally of running on power-efficient embedded hardware. The ultimate goal is to demonstrate the viability of the developed approach in multilayer electrospinning
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method such as ReCiPe 2016 alongside the UCrad model for radiological effects. This work will significantly contribute to developing a holistic perspective on SMR waste management and informing technology
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fairness, transparency, or trust. The PhD research takes a dual perspective. This means that it examines both the experiences and expectations of end-users of AI-enabled services and the strategic decisions
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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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optimization, and the interplay between microstructure properties and the LPBF technique. Key aspects of the project will include the: (1) Development of novel and next generation functional materials for LPBF