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genomes, resulting in vast (terabyte-petabyte) amounts of data. Using this technology, we aim to characterize complex bacterial communities across different environments, to be stored for deeper analysis
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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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. 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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. The fellowship is offered within Load Management in Team Sport Athletes. The PhD project will focus on “Complexity in Training Load and Athlete Response”, with particular emphasis on understanding the dynamic and
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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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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Today’s social media platforms are actors with a complex stake in shaping knowledge about global crises
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Institut of Mathematics of Marseille | Marseille, Provence Alpes Cote d Azur | France | about 1 month ago
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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/Qualifications You will work on: Microbial cultivation using diverse substrates Preparation and characterization of microbial-derived lysates Supporting development and optimization of complex media for mammalian
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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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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