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companies' transitions towards a sustainable society. In research and education, we work in a broad spectrum. From basic mechanical engineering via modelling and simulation towards innovative product-service
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Simulations of Microstructure driven Mechanical properties from high Throughput and multiscale analysIS) project which is based on an effective collaboration between LEM3, ICA, PIMM and CEA. The PhD candidate
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-order modelling and high-fidelity simulations of turbulent reacting flows. You will have the opportunity of using cutting-edge facilities such as Imperial College HPC facilities. You will have access
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science » Computer systems Computer science » Modelling tools Computer science » Informatics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 1 May 2026 - 23:00 (Europe/Paris
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Postdoctoral Researcher in Natural Language Processing and Digital Humanities (18 months, full-time)
research task is to model semantic change and conceptual structure using Natural Language Processing. We will build customized NLP pipelines for premodern Greek and humanistic Latin, train and evaluate word
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to the Sustainable Built Environment (SBE). The SBE team focuses on building energy modelling and simulation, decarbonization strategies for the built environment and R&D of green building technologies such as HVAC
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partners across the aerospace industry. BladeUp aims to transform wind turbine blade design and manufacturing using advanced modelling, machine learning and high-performance simulation, while Gradient Shells
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supported by COMMLab, 6GSPACE Lab, HybridNetLab, QCILab, TelecomAI Lab, CSAT Lab, our SW Simulators, and our Facilities. For further information, you may refer to https://www.uni.lu/snt-en/research-groups
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water models for accurate and efficient simulation of free-surface flows. This includes model derivation, model analysis, and development and implementation of numerical methods. For more information, see
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and the supporting evidence of eligibility for point 7 should be sent exclusively via the following weblink: https://posao.pmf.hr/opening-login?openingUUID=e5bf9166-6cf3-4b35-83e8-d95ad1522c45 Where