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essential to achieving these goals. However, as this transition is still in its early stages, there is a shortage of technologies specifically designed to detect and monitor hydrogen-induced defects
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interpretations, in this project, we will use Bayesian statistics and phylogenetic methods to evaluate whether the timing of CSP clade evolution and HGT events are consistent with the oxygenation timeline
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This role is part of an ERC Advanced Grant. The project aims to develop acoustic manipulation devices that will enable the microscope user to move, assemble and deform objects. This will be achieved
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environment, of engineering AI solutions to problems (especially neural networks or large language models) and/or applying data science techniques (such as Bayesian or similar statistical modelling). You should
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randomised controlled trial of practice-level intervention, with an embedded mixed-methods process evaluation. The aim of the trial is to find out whether the Bristol Medication Review (BRISMED) toolkit can
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cloud solutions that support business objectives of the JOINER project. The ideal candidate will have hands-on experience with AWS and VMware, deep knowledge of hybrid clouds including the network design
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projects, including: The post-holder will run numerical models that simulate the dispersion of greenhouse gases through the atmosphere. These models will be used, in Bayesian inference frameworks
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applications and web portals deployed via containerised platforms such as Docker and Kubernetes. Supporting the objectives of the JOINER project, you will work hands-on with frameworks like React and FastAPI
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cloud solutions that support business objectives of the JOINER project. The ideal candidate will have hands-on experience with AWS and VMware, deep knowledge of hybrid clouds including the network design
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behaviours, and their evolution through the Cenozoic associated with long-term climatic change. The project objectives are to: 1. Examine the relationship between body shape and locomotor mode using