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of the infrastructure, design and execution of large‑scale measurement campaigns, and development of data‑driven models for room acoustics and spatial‑audio. The specific research direction will be finalised after
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increasingly important and pressing due to the rapid growth of offshore renewable energy as a critical part of the UK’s ambitious plan to achieve net-zero greenhouse gas emissions by 2050. These extreme waves
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: Framework Development: Design and implement a generative deep learning framework for cross-modal integration and analysis, resilient to distribution shifts. Correlation Discovery: Identify interpretable
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requires not only quantification of respective changes in materials but also development of novel tools for design and optimisation of new engineering solutions. This will be achieved by combining
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, or related disciplines. Skills in numerical tools and programming are desirable. Any experience in engineering design or manufacturing would be advantageous. Eligibility and Application Due to funding
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computational approaches. You will play a hands-on role in generating and analysing high-quality data that fuels discoveries, publications and therapeutic innovation. https://www.rdm.ox.ac.uk/research
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turbulence, and use this knowledge to identify control strategies through deep reinforcement learning. The methods developed in this project will directly contribute to designing novel porous media
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an appropriate subject or a relevant Masters qualification. Essential criteria: Experience in at one of the following soil evaluation, survey design, analytical spectroscopy. Training will be provided to cover
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the development of globally inclusive language technologies and to design transformative approaches to overcome them. Responsibilities of the post holders include the development of new methods for multilingual
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PhD Studentship: Microswimmers with Autonomous Propulsion Inspired by Biology and Designed with Physics Are you fascinated by working at the intersection of physics and synthetic biology? This PhD