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membrane fuel cells, batteries, and other renewable energies, PCFCs offer distinct advantages, including fuel flexibility, the absence of precious catalysts, noise-free operation, and no regional/seasonal
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-style interventions, and preventative medication. Analysis will utilise best practice in health inequalities measurement, modern econometric techniques, behavioural experiments, and modelling
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models. TensorFlow or PyTorch is desirable. How to apply To apply, please ensure you have digital copies of the below information: • Curriculum vitae; encompassing any research presentations and/or
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only if sociotechnical systems are appropriately designed. “Command and Control” (C2) is the process taken by organisations and teams to achieve shared goals, and the C2 system is the underpinning
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models like SWMM are computationally slow and lack scalability, while opaque AI methods risk biased outcomes. This project addresses these gaps by developing a responsible machine-learning framework
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expensive lithium-ion batteries for energy storage as sodium is low-cost, safe and abundant as compared to lithium. However, the larger radius of sodium ions often leads to a sluggish kinetics process, and
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advances in process-based crop models such as APSIM, their integration often remains limited. This project proposes to get more out of on-farm data streams and process models through their more formal
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sequencing approaches to i) establish innovative zebrafish models of human diseases, ii) investigate the underlying pathogenic mechanisms and iii) run drug discovery programs (https://giacomottolab.com/). We
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of analytical techniques of rock characterisation • Prior experience in experimental geochemistry (water-rock reactions) is preferred • Some knowledge of geochemical modelling is encouraged but not mandatory
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processing pipelines Strong programming skills Ability to work independently and collaboratively as part of a team Strong communication skills, an ability to write high-quality technical reports and contribute