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awareness of AI methods. Technical and mathematical skills required for such research, regardless of prior AI experience. Relevant mathematical backgrounds including, but not limited to: Bayesian statistics
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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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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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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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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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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
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improve standards of medicines use compared with usual general practice care. The project, funded by the NIHR Health Service and Delivery Programme, has three core objectives: successful implementation
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where needed. Working closely with the NCMD Operations Manager, Communications and Engagement Manager and other team members, you will help monitor progress against project objectives, identify and
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will be able to develop research objectives, projects and proposals; identify sources of research funding and contribute to the process of securing funds and make presentations at conferences and other
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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