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Field
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river science with pressing real-world challenges. They will work with a unique decade-long dataset of high-resolution multibeam bathymetry and flow surveys, enabling detailed analysis of how riverbeds
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. Sustainable and energy-aware orchestration of softwarized network functions. Dynamic resource allocation and optimization across distributed cloud–edge infrastructures. Performance analysis in simulators and
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the pathways and fate of the Atlantic Water that enters the Arctic Ocean through virtual particle tracking and heat budget analysis. Study how sea ice losses influence ocean-atmosphere-ice exchanges
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role in the analysis of human linguistic communication, e.g., underpinning theories of pragmatic language use. This project is contributing to an active and growing research program investigating how
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limitations —driven to explore solutions that go beyond what verification alone can achieve. This PhD project focuses on developing analysis and program repair techniques that enhance software interoperability
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design, open science practices) and data analytic abilities (for example, meta-analysis, simulation studies, multilevel and/or mathematical modeling) In-depth knowledge of (statistical) programming tools
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Honours degree or international equivalent in a subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
between advanced sensing and analysis, enabling fast, reliable, and quantitative damage assessment of impacted composites. This project lies at the intersection of composite materials engineering, impact
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
PhD position – Ad Print4Life DC12 Reference code: 50156134_2 – 2025/MO 4 Commencement date: March 1st, 2026 Work location: Geesthacht (near Hamburg) Application deadline: December 31st, 2025 EU
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for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using