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physics, etc. Proficiency in Python or other scientific programming languages. Programming skills in numerical methods for image processing and AI/ML methods for quality improvement are advantageous
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Compute we are seeking two outstanding postdoctoral candidates to work on theory of novel protocols, stronger security proofs, and efficient numerical techniques for semi-device-independent quantum
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Eligibility criteria Numerical analysis and finite element method Solving anisotropic problems Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7340-SOPBAU-024/Default.aspx Work Location
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available funding. Prior experience in QCD, gravitation, gauge/gravity duality, and/or numerical methods is an advantage. Review of the applications will start on January 1st, 2026, and will continue until
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areas of the group include stochastic processes, mathematical finance, and probabilistic transport theory. Our ideal candidate already has experience with modern methods in probability theory
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research program that works both within and at the boundaries of data science/econometric methods and the social sciences to discover, create, and disseminate new knowledge. The successful candidate will
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pumps’, including creating datasets for cooling demand profiles at individual dwelling and community levels, devising methods for forecasting cooling demand, and using specialist software to simulate
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government partners, we conduct cutting-edge research on paper-coating technologies using aqueous spray-coating methods to address emerging challenges in food and healthcare packaging. We are seeking a highly
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economics or a related field. Candidates must have expertise in experimental methods and prior experience conducting social science experiments (lab, lab-in-the-field, online, and/or field). Researchers
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Responsibilities: Build and analyze dynamical system models (multiscale, QSP, PBPK, PK-PD). Apply numerical methods, optimization, and parameter estimation to calibrate models to experimental/clinical data. Perform