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analytics methods for the study of historical paintings in an interdisciplinary research environment. You will contribute to the development of state‑of‑the‑art methods that advance the analysis of complex
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and a phosphorescent emitter (organometallic complex). The operating principle relies on the generation and recombination of electron–hole pairs (excitons) within the organic matrix, followed by energy
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sound statistical models and methodology for the data-driven analysis of complex and dynamic systems, with the goal of enabling predictive, prescriptive, and pre‑emptive analytics. We work closely with
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. Develops understanding of advanced theoretical concepts. 5. Work is varied and somewhat difficult. Originality and ingenuity is required. 6. Receives direct supervision referring complex situation to higher
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Mathematics, with a strong background in probability theory and complex analysis. Skills in differential geometry are also required. The thesis topics will focus on constructive field theory for conformal field
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will develop new mathematical tools to analyse brain imaging data using persistent homology, a method from topological data analysis (TDA) that captures the shape and connectivity of complex data across
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multi-data analytics (e.g., health and climate/environmental data) and could include a range of data science methods, such as utilising geographical information systems (GIS), statistical analysis
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] (AI-assisted Simulations of Microstructure driven MEchanical properties from high Throughput and multiscale analysIS), in the framework of PEPR DIADEM[2] , which aims to develop an advanced
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sequencing technologies (such as nanopore sequencing) has enabled the discovery and analysis of complex regions of the genome for the first time. Novel long read sequencing approaches developed in the Ryan
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We are looking for a highly motivated PhD candidate interested in AI-based methods, including machine learning and language technologies, for the integration and analysis of clinical, advanced data