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Description As a PhD candidate in Mathematical Statistics, you will develop novel methods for the analysis of temporal data. Of specific interest are monitoring procedures for structural breaks, which find
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. The doctoral candidate will play a central role in advancing the system from pulsed to continuous operation. The project is structured around two main objectives. First, the candidate will implement controlled
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, model data integration, data mining, land surface models, ecosystem fluxes, isotope methods, biodiversity, organismic interactions, biological mineral formation, palaeoclimatology, micropalaeontology and
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mechanical stress into useful electrical energy, enabling autonomous sensors and systems in demanding industrial and structural environments. The research will involve a combination of analytical modelling
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qualifications: A degree in Biology, Geology and Earth Science, Physics, Mathematics, Geography, Soil Science, Atmospheric Science, Environmental Science, or related fields Good knowledge and skills in statistics
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including the research statement Proficiency in both written and spoken English Scientific qualifications: A degree in Biology, Geology and Earth Science, Physics, Mathematics, Geography, Soil Science
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? How is epigenetic information established and transmitted and how do epigenetic processes impact on plant development? How do plants and soil fungi interact to establish arbuscular mycorrhiza (AM
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. Nikolina Sostaric. A dedicated yeast genetics technician will provide strain construction. Together, the team will unravel how molecular changes propagate through the polarity network to collectively enable
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“Multiscale modelling of soil-structure interaction for renewable energy applications”. An improved understanding of soil-structure interface behaviour can lead to significant cost savings for offshore wind
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plant genetic mechanisms that coordinate mycorrhizal interactions with plant P and water status, root system development, and soil microbial communities. Using maize and rice as models, we will: 1