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and required regulatory landscape underpinning Estonia's SBE ambitions, positioning it within regional (Baltic Sea) and international contexts. Furthermore, a chapter of this study will focus in-depth
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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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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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nanofibrous layers, including composite multilayer membranes. Currently, there are 1) no readily available nanofiber quality models for multilayer membranes, and 2) no robust and scalable methods for model
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Infrastructure? No Offer Description Summary A fully funded PhD position (four years) is available for an Early-Stage Researcher in the area of additive manufacturing, with an emphasis on thermomechanical modeling
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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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Computer science » Modelling tools Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Estonia Application Deadline 24 Oct 2025 - 23:59 (Europe/Tallinn) Type of Contract Temporary
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technologies employing IoT. Responsibilities and tasks Organising and conducting full-scale sea trials data collection using the Internet of Things, sensors and NMEA 2000 Analysing the speed-power performance
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models, real-time telemetry, and AI-enhanced analytics, the research aims to enable continuous simulation and verification across the entire ECU lifecycle—from early model-in-the-loop design to deployment
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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