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SD-26106-PHD POSITION ON ASSESSMENT AND MONITORING OF SOIL HEALTH AT CONTAMINATED SITES USING GEO...
solutions that address real-world challenges and create positive impact. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? In the framework of the MSCA
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, mechanical engineering or a closely related field. Your course of study must correspond to a five-year Norwegian course, where 120 credits have been obtained at master's level. Master students can apply, but
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
knowledge of AI-enhanced planning in shipbuilding supply chains. Apply quantitative methodologies, such as simulation, analytical modelling, and AI‑driven techniques, to develop decision support for efficient
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. Set up a quantitative, experimentally validated model of the ultrasonic flow sensors Design an experimental sensing platform required for this project. Characterize ultrasound propagation loss, quality
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modelling to improve our understanding of radionuclide behaviour under relevant environmental conditions. The PhD position is funded through the Norwegian Nuclear Research Centre (NNRC). Link: https
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of magnetically stable and optically addressable spins on surfaces, bringing molecular quantum technologies to fruition. Depending on fit, successful candidates may contribute to one or more of the
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the crustacean model Parhyale hawaiensis. About the lab: The Developmental Morphogenesis Lab at IMBB-FORTH in Crete Greece studies the origin of biological form during animal development and evolution. Our
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NTNU and the application process here. About the position The Department of Engineering Cybernetics has a vacancy for a PhD Candidate. Foundation models represent one of the most promising avenues
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trajectories of value realisation. It should be noted that digital software here refers to field management software and enterprise resource planning (ERP) software, not product modelling software such as
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objective is to develop methods that move beyond correlation-based prediction toward causal reasoning, intervention-aware modelling, and interpretable AI systems. This transition from correlation to causation