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Job description We are recruiting postdocs to contribute to research projects in the Mathematical Modelling of Infectious Diseases Unit, at Institut Pasteur in Paris. The candidates will be expected
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27 Aug 2025 Job Information Organisation/Company CNRS Department Laboratoire d'analyse et d'architecture des systèmes Research Field Mathematics History » History of science Researcher Profile
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23 Aug 2025 Job Information Organisation/Company CNRS Department Laboratoire de Mathématiques et Applications Research Field Biological sciences Computer science Mathematics Researcher Profile
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 8 hours ago
-09249 Requirements Skills/Qualifications Essential: PhD in quantum information, mathematical physics, theoretical computer science, or related field. Research experience in quantum error correction
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(FSTM) 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
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. Requirements: We are looking for a highly motivated candidate with a PhD in theoretical/computational physics or applied mathematics. A strong background in quantum mechanics and numerical simulations is
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, paleomagnetic) is required. The candidate must have solid background in geophysics, mathematics and programming. In addition, the candidate must have good skills for working in a team as well as for producing
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their thesis. Design and oversee data collection campaigns. Process the data using appropriate mathematical and computational tools. Analyze, interpret, and validate the results. Disseminate and promote
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potential lends itself to this. Required profile: · With a PhD in physics or mechanical engineering, the successful candidate will have acquired solid skills in the mathematical and numerical methods
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learning or applied mathematics. Required skills and qualities: - Fluency with Python programming for data analysis or machine learning, - Knowledge of statistical or probabilistic modelling techniques