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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 3 days ago
the limits of the scale in force. Emerged from the correspondence between proofs and programs, dependent type theory is a formalism which has proved its worth as a foundation of mathematics, as witnessed by
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economy that respect people and their environment. We are looking for a Post-doctoral fellow in Quantum Information Theory. The Quriosity (QTY) Inria research team is situated within the Laboratoire de
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the context of new environmental challenges and the digital transformation of society. The post-doc's mission will be to continue and initiate work on the challenges of sustainable logistics for the Limousin
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their geometry to external factors. Comcumitantly with these experimental works, this post-doctoral work will mostly focuses on advanced computational studies to understand the photophysical properties
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have a strong interest in both theory and numerical work. Numerical work involves code development (e.g., changing the C++ LAMMPS code, programming of data analysis tools, etc.), carrying out large-scale
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with students, doctoral students, post-doctoral fellows and researchers. The recruited person will work for a period of 14 months, ideally starting in November 2025 at the MARBEC laboratory in
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well as investigating the role of non-local correlations in the quantitative prediction of satellites positions and pole strengths. The successful candidate will participate in numerical research and scientific code
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for the subject Read scientific literature on the stability analysis of partial differential equations Expertise in control theory and partial differential equation analysis Demonstrate curiosity and scientific
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Analysis of Pattern Learning and Extraction (MAPLE) PI: Dr. Bruno Loureiro We invite applications from highly motivated, independent, and creative postdoctoral researchers to work on the theory of feature
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part of the European project ULTRABAT (BATTERY2030+), you will be responsible for modeling the NMR parameters of lithium ions in and at the interface of battery cathode materials. The ULTRABAT project