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Field
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predictive modelling. The project gives you the opportunity to work across scales: from thousands of plants and complex microbiome datasets to mechanistic experiments with individual microbial isolates. Your
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biological data are increasingly common in modern biomedical research but remain challenging to analyse because of their scale, heterogeneity, and complex spatial and functional dependencies. Existing methods
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analysis to mathematical logic. Project description We especially seek to recruit PhD students for the following projects: Group theory, arithmetic geometry and representation theory (supervised by Wushi
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engineering Engineering » Other Mathematics » Applied mathematics Physics » Applied physics Physics » Other Researcher Profile First Stage Researcher (R1) Application Deadline 4 Oct 2026 - 21:59 (UTC) Country
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Microlocal analysis explores the classical/quantum correspondence in partial differential equations (PDEs). For example, the concept of symbol quantisation in the theory of pseudodifferential
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advanced algorithms for solving complex optimization problems. You will work with real-world case studies to design future-proof supply chain networks for key agricultural products in vulnerable regions
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. Ensuring resilience in such scenarios is critical for safety-critical applications including environmental monitoring, infrastructure inspection, and emergency response. This PhD will develop a mathematical
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25th September 2026 Languages English English English The Department of Marine Technology has a vacancy for a PhD Candidate in Deep Learning Enhanced FSI analysis of Modular Floating Structures PhD
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descriptive and association studies, complex systems analyses, automated extraction data analysis and methods-needs matching Your PhD position is part of the Academic Research Network HTA, a collaboration
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 1 month ago
insights from cutting-edge imaging and sensing technologies. You will work at the interface of data science, imaging technology and biomedical research, developing analysis strategies for complex real-world