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-like molecules (Fragment-Based Drug Discovery) has strongly modified the generation of therapeutic compounds1. The method consists in identifying small organic compounds (fragment hits) that bind
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requirements and focusing on data-value maximisation. This project will utilise innovative machine learning methods and tools from process systems engineering to simultaneously optimise product quality and the
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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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: Numerical modelling, Geotechnics, Finite Element Method (FEM), Research and development projects, Scientific achievements DESCRIPTION (subject-matter, expectations, remarks): Requirements for Candidate: PhD
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the combination of Time Spectral Method with Bloch analysis. Integration within the FairCFD Network Within the FairCFD network, you will contribute mainly to WP1, Efficient physics-based numerical methods, and WP2
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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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"Phase-space-inspired numerical methods for high-frequency wave scattering: from semiclassical analysis through numerical analysis to implementation". The design of fast and reliable algorithms
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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 16 hours ago
and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC-Chapel Hill offers full-time
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Geography, and the like Demonstrated analytical, programming, or numerical methods skills (e.g., C++, Fortran, Python, R, Matlab). The candidate must be fluent in written and spoken English and Portuguese