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in numerical methods or scientific computing. Familiarity with machine learning techniques applied to engineering problems is a plus. Good communication skills and ability to work independently and
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Description Ice and mixed-phase clouds remain a significant challenge for both observational methods and atmospheric modeling. However, recent advances in both areas offer promising opportunities for progress
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the development and coupling of numerical methods for solid mechanics modeling Experience in digital rock technology, including advanced imaging and related analysis Experience in the performance of high pressure
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours 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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scientific and numerical skills, meticulous attention to detail, and accuracy. Spanish language proficiency is preferred. Workplace Requirements This position is offered as a hybrid role, combining both in
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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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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
developed. Subsequently, experimental and numerical studies are foreseen on materials that are more difficult to use in L-PBF see more here https://www.cemef.minesparis.psl.eu/wp-content/uploads/2026/01
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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
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, including semiconductor heterostructures, graphene, van der Waals materials, and topological insulators; - knowledge of advanced computational, theoretical and numerical methods for studying electronic and