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Department: Earth and Environmental Sciences Title: Quantifying Raindrop-Freezing Fragmentation Using a Cloud Chamber and Numerical Modelling Application deadline: All year round Research theme
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), including SQL and NoSQL databases, to store and manage data efficiently Cloud Computing and APIs: Experience with cloud computing platforms such as AWS, Google Cloud, or Azure, particularly their AI and
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cloud data centres. However, this can come at the cost of performance and slower function processing, which manifests as higher energy consumption and increased operational costs (OpEx) for operators. So
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cloud data centres. However, this can come at the cost of performance and slower function processing, which manifests as higher energy consumption and increased operational costs (OpEx) for operators. So
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on virtualisation, containerisation, and cloud-native architectures such as Kubernetes. Experience with programmable network technologies—including P4, Open vSwitch (OVS), and/or eBPF—is highly desirable, as is
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cloud-computing (Azure, Google cloud platform, AWS) are considered beneficial but not essential. Funding This is a self-funded opportunity. Diversity and Inclusion at Cranfield We are committed
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analysed in a standard web browser. HiPIMS computations can be executed on local GPUs or through cloud-based GPU services, empowering users to conduct large-scale fast flood simulations without worrying
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between the (relatively few) models of early contrail development which operate at the plume scale, regional- to global-scale models of the cloud response, and real-world observations of both. The lack of a
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found here: https://youtu.be/Ccc3ecIoowk . You will join one of the largest groups developing this technology world-wide. Prof Jeff Hartnell co-leads the CLOUD neutrino experiment, which will deploy a 10
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found here: https://youtu.be/Ccc3ecIoowk . You will join one of the largest groups developing this technology world-wide. Prof Jeff Hartnell co-leads the CLOUD neutrino experiment, which will deploy a 10