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of the position will be in developing new techniques for testing and verifying modern highly concurrent systems, such as weak-memory architectures and highly-distributed databases. The position is also open, to
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-throughput computational approaches for practical usage. The project. This project will develop a physics-informed computational workflow for the discovery of novel supramolecular host systems capable
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addresses one of the most pressing challenges facing contemporary port ecosystems: how ports can develop new strategic roles in support of the green transition. The project will explore how ports move beyond
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will therefore also support the metallurgical assessment of commercial products and their consistency. The PhD will be broken down roughly as follows: Developing a fundamental understanding of forging
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characterisation, while integrating polymer chemistry, nanotechnology, and dynamic performance analysis to develop next-generation elastomers for sustainable mobility. Candidates with experience in chemistry
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This PhD project, part of the REACT MSCA Doctoral Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing
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to seconds. This will reveal how these proteins work at the molecular level and provide insight into mechanisms that are central to membrane protein function. A key part of the project will also be to develop
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particular focus on the development of new catalysts and electrocatalysts for sulfur redox reactions. We encourage applicants with a range of skill sets to apply. The candidate will work within the Nottingham
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be developed using open-weight models. Access to model weights enables the candidate to inspect and adapt the models, investigate their internal representations, apply interpretability and verification
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contribute to aiD by developing trustworthy AI-supported methods for multimarket bidding and decision support in Nordic power markets. The rapid integration of wind power, battery storage, and other flexible