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Supervisors: Prof. Gabriele Sosso, Dr Lukasz Figiel, Prof. James Kermode Project Partner: AWE-NST This project utilises advancing machine learning techniques for simulating gas transport in
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PhD studentship: DEPTHS: Data-driven Evaluation of Pollutant Dispersion in Urban Areas by Detached Eddy Simulation and Experiment Award Summary 100% fees covered, and a minimum tax-free annual
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Wolverhampton Law School Research Assistant (UW7) – 2 posts (Casual contracts until 31/07/2025) 29 hours of work per post We are seeking a talented Research Assistants for a short-term project The
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post-docs and senior researchers, in Luxembourg and from our international network of collaborators. You will be spending time also in Cambridge and Lisbon. For further information please see the website
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About the Project Structural/engineering dynamics holds the key to designing safer, lighter and greener structures for the future. However, a grand challenge facing the discipline is that many structures are nonlinear. This presents a major problem as the mathematics that we usually rely on have...
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to the development of multiscale computational models for simulating crack propagation and establishing reliable methods to predict the residual strength of composite structures. The simulations, performed in Ansys
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of mechanical and robotic systems •Ability to use finite element modelling and to simulate complex mechatronics •Ability to implement control and kinematics with hardware-in-the–loop •Background with relevant
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Scholarship in CSIRO Industry PhD Program - Project 2: Techniques and Frameworks for Enabling Post-Quantum Cryptography (PQC) Migration Job No.: 678538 Location: Clayton campus Employment Type: Full
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the resources necessary to complete the programme of work. The ability to engage in impact activities and develop pathways to impact. For further information about the post, please refer to the LSE ESRC DTP
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. The candidate will work closely with the CIs, post doc and PhD (machine learning) candidate, to develop choreographic structures used to generate movement and interaction capabilities that will define human-robot