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competencies and organisational models in the construction sector and built environment in general. Your research will focus on identifying labour-market risks, emerging opportunities and governance challenges
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scaling model sizes, training budgets, and datasets; often at substantial computational and environmental costs. This PhD project targets sustainable and resource-efficient machine learning with a focus on
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the Telemark Canal , focusing on digital twin-based preparedness modelling for cultural heritage infrastructure. The primary objective of the position is to complete a doctoral education leading to a PhD degree
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Engineering at NTNU, where computational mechanics, advanced finite element modelling, and artificial intelligence meet. As a PhD candidate, you will work at the forefront of nonlinear simulation, contributing
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innovative approaches in bit technology, hydraulic hammer systems, drilling fluids, and thermal management. The project will combine experimental insights, physical modeling, digital‑twin technologies, and AI
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model for large scale assessments and projections of the land-water carbon cycle to variation in climate conditions. The detailed direction of the PhD studies will be discussed and decided jointly with
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advertising agency jeid-c91dede791b59141ad506fdc84d478c1 Create a Job Match for Similar Jobs Logo About East Carolina University To be a national model for student success, public service and regional
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and deadlines, please visit: http://www.jsmc.uni-jena.de . Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content
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unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position The Structural Mechanics group (https://www.ntnu.edu/kt/research/sm ) is
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-speed, medium-resolution ADCs designed to capture transmitter distortions with high dynamic range and precision. Your activities will include system-level modeling, architectural exploration, transistor