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selectivity is already being studied in the laboratory using approaches based on the functionalization of sensitive membranes. Original contributions expected: Software approaches involving the development
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Recommended education: - PhD in economics Required skills: - Discrete choice models - Proficiency in statistical software (Stata, R, or Python) Website for additional job details https://emploi.cnrs.fr/Offres
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-Performance Computing for Exascale" contributes to the design and development of numerical methods and software components that will equip future European Exascale and post-Exascale machines. This program is
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simulation software developed at IJL and validate them by comparing macrosegregation predictions with chemical characterizations carried out on industrial parts. The postdoctoral associate will work under the
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space plasmas · Scientific computing (Fortran, Python, C++). · Paraview software. · Numerical simulations Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8254-SYLDES-015
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of squares hierarchies to prove positivity of holonomic functions - Scientific article writing - Attending conferences - Software programming LAAS CNRS Where to apply Website https://emploi.cnrs.fr/Candidat
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, teamwork • Ability to respond to challenges • Dealing with confidentiality • Efficiency with office software /Behavioral skills : • Self-learning and interpersonal skills • Excellent communication skills
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on software-related developments, including: - Development and automation of test and monitoring software - Data acquisition and analysis including interfacing with databases - Monitoring of the quality
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polariton accelerator” will exploit exciton–polaritons to implement artificial neural networks directly in hardware rather than in software. Exciton–polaritons are hybrid quasiparticles composed of light
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have excellent skills in analyzing human behavior and be proficient with experimental and data processing software (E-Prime, Matlab, R), statistical analyses including linear mixed-effects models, as