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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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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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Ordinance nr. 33/2019, of January, 25th. It is mandatory to present the certificate to sign the contract. More information is available on: https://www.dges.gov.pt/pt/pagina/reconhecimento Workplan and the
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Functional Theory (DFT) Familiarity with artificial intelligence methods Good knowledge of electronic structure methods Experience with Linux, Git and related tools Knowledge in the field of high-performance
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complementary data from other Mars missions to strengthen current models and provide comparative insights that enhance research conclusions from Hope observations. Develop Machine Learning methods and run
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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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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
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Context Statement Position Overview A postdoctoral position is available in the Department of Physics at the University of Idaho. The primary focus of this position is advancing numerical relativity methods
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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