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in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis, design, and implementation of complex systems. We focus on ensuring that our
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. The work will involve thermohydraulic and neutronic modeling, materials analysis, and the assessment of operating conditions in the space environment, as well as the definition of application scenarios (e.g
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. Finally, a mathematical framework will be developed to analyse the nonlinear saturation of the unstable modes and their collective interactions over a range of wavenumbers. Where you will work The PhD
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Website for additional job details https://web.uniroma1.it/trasparenza/bando/242888_1/2026 Work Location(s) Number of offers available1Company/InstituteUNIVERSITA' DI ROMA LA SAPIENZACountryItalyGeofield
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analytical and mathematical skills, including proficiency in quantitative modeling, data analysis, and scientific computing (e.g., R, Python). Strong written and verbal communication skills in English. *for
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. The student will develop cutting-edge analysis strategies to search for the extremely challenging production of three neutral 125 GeV Higgs bosons. This search will be performed using the full ATLAS Run-3 13.6
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scope is broad and varied, including proving theorems, high-performance implementations of mathematical algorithms, practical machine learning, and statistical data analysis. Our research environment is
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Description Bioinformatics and computational biology integrate computer science, mathematics, and biology, focusing on processing, analyzing, and modeling biological data and processes at the molecular and
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writing, and making presentations in related field, preferably in a higher education setting in which conducting data analysis and reporting findings is/was the primary function; the experience includes
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Qualifications Minimum Qualifications Level I – Bachelor’s degree in Business, Statistics, Mathematics, Finance, Information Systems and 0 years of experience in the design, analysis, and reporting of data. Level