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Field
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Position 1 - Hybrid Traffic Flow Modelling This PhD focuses on developing hybrid traffic flow models that combine physical modelling principles with machine learning approaches, such as Physics-Informed
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. The first one will advance techniques for large-scale 3D particle tracking by merging measurement theory and practice with flow modelling for applications in industrial wind tunnels for the aerospace sector
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scientific excellence and applied research to design 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/ You
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, you will develop analytical and numerical models describing the quantum dynamics of mechanical systems and their interactions with complex environments. Building on these models, you will investigate
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disturbance experiments at Trinity College Dublin and on modelling resilience and RD at University of Zürich are planned. Research Project DC3 DC3 will use empirical plankton ecology to analyze both
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? The NWA-ORC funded consortium project ABEL addresses this challenge by combining technology development with process modelling and assessment across the waste value chain. The members of the consortium
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indicators of embankment condition. To support the interpretation of monitoring data, a physics-based train–track–embankment interaction model will be developed using finite element (FE) and/or multibody
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companies. The research will integrate techniques of numerical analysis and structure-preserving algorithms to generative modeling in AI. It will build upon the work done at IMF and SINTEF in this field. We
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with annual indexation) Faculty of Information Technology Tuition Fee Scholarship (for international students only) Industry Top-up scholarship of $10,000 per annum FIT Candidature Funding of $4,000
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Certificate of Laboratory Animal Sciences valid in the EU, or you are prepared to obtain such a certificate as soon as possible; By preference, you are experienced in working with animal models; You are