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possible in techniques such as finite element modelling. For example, plastic flow of steel is measured experimentally and the data embedded in the model to handle aspects where fundamental plasticity models
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to further optimisation, etc. The project objectives are to: Develop a detailed understanding of current hydraulic modelling practice. Create a new framework to quantitatively assess and rank different
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integrating advanced sediment transport and groundwater flow models, leveraging insights from fluvial hydraulics and new field experiments.The PhD candidate will work on: Collecting and analyzing data from
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National University of Science and Technology POLITEHNICA Bucharest, Pitesti Branch | Romania | 21 days ago
on modeling, simulation and advanced analysis of energy conversion systems. The activities include studying the effects of low-quality power supplies and ripple current on electrolysis systems, developing
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Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
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-phase flow models. Finally, the continuous macroscopic mechanical model will be implemented in versatile CFD software used in industry, enabling large-scale simulations. Initially, the continuous model
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Centrifuge Physical Modelling of Floating Offshore Wind Moorings in Layered Soils Offshore Wind CDT PhD Research Project Competition Funded UK Students Dr Elisabeth Bowman, Prof Charles Augarde
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Università degli Studi di Padova - Dipartimento di Biomedicina Comparata e Alimentazione | Italy | 7 days ago
three-dimensional models.Calibration of numerical models aimed at reconstructing lagoon hydrodynamics (water levels and flow velocities) and the space–time dynamics of temperature and
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models (DDM, sequential sampling, Bayesian models). Experience with computer vision tools (e.g., MediaPipe, OpenPose, homography estimation, optical flow). Experience with eye-tracking data collection
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modelling. MISSION You will actively contribute to the development and evaluation of new hybrid computational method to predict biological tissue deformation with subject-specific material properties