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Laboratoire de Chimie Théorique, Sorbonne Université & CNRS | Paris 15, le de France | France | 13 days ago
/chemistry project MaQuI, we are hiring a PhD student (3 years) to work on questions related to quantum electrodynamics (QED) applied to quantum chemistry. QED is, in principle, the most fundamental and
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background in cybersecurity or computer science; experience in quantum communication and QKD would be a strong asset. Strong project management expertise in technical environments, covering planning, risk and
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on Intelligent Vehicles, vol. 1, no. 1, pp. 33–55, 2016. [2] M. Cerezo, G. Verdon, H.-Y. Huang, L. Cincio, and P. J. Coles, “Challenges and opportunities in quantum machine learning,” Nature Computational Science
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interdisciplinary, and together we contribute to science and society. Your role The selected candidate will develop a computational platform to identify hierarchical combinations of cell fate conversion factors
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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2 Mar 2026 Job Information Organisation/Company Paris-Saclay university Department UFR Sciencs - Physics Research Field Physics » Quantum mechanics Researcher Profile Recognised Researcher (R2
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Call for expression of interest SENIOR OR MID-CAREER RESEARCHERS IN ARTIFICIAL INTELLIGENCE, DATA SCIENCE AND COMPUTATIONAL SCIENCES AT THE PARIS BRAIN INSTITUTE PARIS, FRANCE The Paris Brain
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engineering models for large-scale quantum computers. The aim is for this thesis to develop fundamental expertise in quantum physics and computing, and then share it with other teams in the Q-loop project, so
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seminars - Strong organizational and collaborative skills - Good academic proficiency in English (C1) - Expertise in quantum computing is a plus Website for additional job details https://emploi.cnrs.fr
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interdisciplinary, and together we contribute to science and society. Successful candidates will join the Computational Biology group, led by Prof. Antonio del Sol, which develops computational models to address