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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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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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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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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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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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to undertake a Kidney Research UK funded project. There are three main objectives: The relationship between circulating adiponectin and measures of glycocalyx depth will be examined The causal relationship
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-to-day work to meet clear objectives providing an effective service to others working closely with colleagues. Independence and initiative will be required to react to changing priorities and work
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(i.e. 4D) video understanding. Topics related to 4D tracking, hand and body pose estimation and long-term tracking of objects in world coordinates will be explored. The project will focus on rethinking
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environment. Working in partnership with your designated area of the Faculty, you will build strong relationships with key managers to support strategic objectives. Collaborating closely with the local finance