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bioinformatics programming and high-performance computing environments, including Python, R, Linux-based workflows, and HPC/cloud platforms for reproducible pipeline development. Evidence of strong scholarly
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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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with data analysis/modelling and programming (R or Python). Advantageous: geostatistics, digital soil mapping, remote sensing, GIS, big data or cloud tools. Proactive working style, strong communication
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of Information Security and Communication Technology invites applications for a fully funded PhD position on AI-driven network operations for cloud-native 5G/6G networks. The project will explore the mechanisms
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workflows between field acquisition teams, data center staff, and research collaborators to ensure seamless data transfer and integration. -Support daily operations of servers, networks, storage, and cloud
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challenges: Data management across the edge cloud continuum means tracking the origin, ownership, and transformations of data: where it comes from (source), where it is stored, who controls access and usage
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-effort services rather than guaranteed real-time performance, and the transmission of multi-modal data streams in telesurgery—such as point clouds, haptic feedback, and audiovisual signals—places
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) and Edge Computing are undergoing a major transformation. Systems that once relied heavily on cloud-based processing and passive data collection are evolving into distributed networks of intelligent
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. The PhD candidates will focus on developing methods that utilize remote sensing and AI supporting precision forestry. Remotely sensed data, such as images, lidar, and photogrammetric point clouds acquired
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Contrail formation remains one of the least understood yet most climate-relevant impacts of aviation. Persistent contrails can evolve into cirrus-like clouds that significantly affect Earth's