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responsible for adapting existing mathematical and statistical methods for analysis of high-dimensional imaging data, and analysing quantitative imaging data from a variety of sources, including Spatial
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@agh.edu.pl Work Location(s) Number of offers available1Company/InstituteInstitut of Mathematics of MarseilleCountryFranceCityMarseillePostal Code13 003Street3 place Victor HugoGeofield Contact City Marseille
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19 Sep 2025 Job Information Organisation/Company Aix-Marseille Université Research Field Mathematics » Applied mathematics Mathematics » Probability theory Mathematics » Statistics Researcher
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they interact in a bipartite network and with abiotic environmental changes - mathematical developments - coding - tests with simulations - data analyses - paper writing - presenting results
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increasing environmental awareness. However, most existing hearing aid algorithms optimize for only one of these objectives at a time, often at the expense of the others. To enhance hearing aid performance
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is the study of complex systems, by means of the analysis of real-world data, their modelling through mathematics and numerical simulations, and their control and optimization. The different poles
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analysis 4. Experience of atomistic simulation techniques 5. Ability to work independently and as part of a team 6. Excellent communication skills Desirable criteria 1. Experience
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Institute, MI), Professor Simon Leedham (NDM), Dr Joshua Moore (MI) and Dr Eoghan Mulholland (NDM). You will be responsible for adapting existing mathematical and statistical methods for analysis of high
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on performance and project needs. Qualifications • For Doctoral Candidates: Master’s degree in Mathematics. • For Postdoctoral Researchers: Ph.D. in Mathematics, ideally with a background in one or more of the
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research environment. KEY RESPONSIBILITIES & ACCOUNTABILITIES Research and Analysis (50%) Design, develop, and implement mathematical and computational models for disease transmission dynamics Analyze large