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, Organization and Interdisciplinary approach. Good skills in numerical methods and statistical analysis is required, very good English (written/spoken). Where to apply Website https://emploi.cnrs.fr/Offres
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competences in Computational Electrostatics for Biology Numerical analysis and implementations ESSENTIAL REQUIREMENTS To be registered as a student in an undergraduate master’s degree programme in Mathematics
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 30 days ago
walls; iii) Experimental and/or numerical characterisation of the mechanical and seismic behaviour of the proposed connection solutions; iv) Development and calibration of numerical models representative
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areas of applied and computational mathematics including applied analysis, mathematical modelling, scientific computation, numerical analysis, probability and statistics etc.; teach undergraduate and
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to the design, implementation, and scientific exploitation of numerous satellite missions. CESBIO is a Unité Mixte de Recherche (Joint Research Unit) bringing together the CNES, CNRS, IRD, and the University
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at developing and applying multiscale numerical models for the thermal-hydraulic safety analysis of advanced nuclear reactors, with a focus on the prediction of Critical Heat Flux (CHF) in Small Modular Reactors
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select
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datasets (e.g. ground-based radar measurements and weather station data) Contribute to the development and application of numerical models Assess uncertainties for future sea-level projections Publish
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fields: Material Science, thermal simulation, Metallurgy, Solidification of alloys,... School - Location: Centrale Lille Institute Laboratory: LaMcube Web site: http://lamcube.univ-lille.fr/ Name of
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mechanics and materials mechanics - Strong interest in multiscale and multiphysics modeling - Knowledge of numerical methods and finite element analysis - Interest in hybrid physics–data approaches and