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Start Date: October 2026 Application deadline: 30th April 2026 Introduction: Warm cumulus clouds have been observed to yield precipitation as soon as 30 minutes after their formation. Formation
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About the Role This is an opportunity to join an established, high-profile, team that is working on various aspects of cloud computing and AI law. Members of the team also teach on courses in cloud
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About the Role This is an opportunity to join an established, high-profile, team that is working on various aspects of cloud computing and AI law. Members of the team also teach on courses in cloud
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second (2.1) class degree in Physics plus a Master's degree in Physics before the programme starts. The rapid move to wireless devices and the proliferation of cloud-based technologies call for denser
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Applications are invited for a Senior Researcher in Geospatial Foundation Models for the Analysis and Compression of Atmospheric Data with Focus on Clouds position. This position, part of EU Horizon
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About the role: This post of Research Assistant (pre-doctoral) or Research Associate (post-doctoral) is to conduct research on cloud computing and future cloud infrastructure, under the direction
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Machine Learning Quantum Phase Transitions via Topology- and Symmetry-aware AI School of Mathematical and Physical Sciences PhD Research Project Self Funded Dr Marco Fazzi Application Deadline
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Associate: A PhD (or be close to completion) in an area pertinent to the subject area, i.e. operating systems, networking, distributed systems, cloud computing. Research Assistant: A strong Master’s degree in
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or a PhD in Data Science, Computer Science, or closely related disciplines with industry-relevant research data skills and/or ongoing industry collaboration. Knowledge and expertise in one or more areas
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collaborators. These data are stored on a mixture of cloud platforms (e.g., AWS), local high-performance clusters, and protected research environments (e.g., Genomic England). The postholder will work closely