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) This PhD project aims to define evidence-based, task-specific colour vision requirements for mainline train drivers and other safety-critical rail staff. The research will focus on colour-dependent visual
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operational constraints of complex HVDC infrastructure, drawing on real-world insights into converter stations, auxiliary systems, and system availability factors. The role will involve developing data-informed
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auxiliary systems that are integral to the operation and safety of offshore platforms. Working within a multidisciplinary environment, the researcher will develop advanced diagnostic models, analyse complex
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the climate system through the development and utilisation of geospatial foundation models for clouds in the context of climate research. Successful applicants will work closely with IBM and our international
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the partners and within the team and translating the partners¿ requirements into the research programme at Liverpool. Contributing to work developing state-of-the-art energy system modelling methods. Being
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(such as demand spikes) can threaten the power grid stability. The PhD project will identify and develop solutions to mitigate power grid instability caused by AI data center loads, ensuring resilient grid
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, which frequently produces designs that are suboptimal when subjected to real-world dynamic environments. Although a handful of advanced, high-fidelity solvers have been developed to tackle this issue
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researchers, this PhD will contribute to developing scalable bioprocessing solutions that support a more circular, climate‑positive future for biomass utilisation. Motivation The global shift toward a
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in all areas is not essential, as full training will be provided. Above all, candidates should demonstrate motivation, enthusiasm, and a willingness to develop new skills. Start Date: The successful
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have framework laws that provide for adaptation but there are significant gaps in areas relating to financing, investment and infrastructure development. This means that there is an urgent need for more