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: PhD in engineering or related field, with post-doctoral research experience in flow and transport in porous media. - Know-how: Mathematical modeling, micro/milli-fluidic experimentation - Soft skills
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comprises about 170 members and is structured into 4 research teams : Analysis, Numerical Analysis, and Scientific Computing (ACSIOM), Didactics and Epistemology of Mathematics (DEMA), Probability and
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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
2 Dec 2025 Job Information Organisation/Company CNRS Department Laboratoire des sciences du numérique à Nantes Research Field Engineering Computer science Mathematics Researcher Profile Recognised
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biostatistics, - At least 2 years of postdoctoral experience, and if possible experience in supervision (master or PhD students), - Solid background in mathematical modelling and computer programming
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2 Nov 2025 Job Information Organisation/Company CNRS Research Field Environmental science » Earth science Mathematics » Applied mathematics Researcher Profile First Stage Researcher (R1) Positions
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2 Oct 2025 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique et des Systèmes Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage
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Information Eligibility criteria - PhD in theoretical chemistry applied to materials, materials physics, or computer science/applied mathematics; - Solid experience in DFT applied to periodic systems (codes
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addition to the postdoctoral researcher based at LAPTh, the collaboration will include a PhD student and several Master’s students in Aachen, ensuring close and regular interaction between the Annecy and Aachen teams through
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Mathematics, Computer Vision, or Data Science. -Knowledge of statistical inference methods and machine learning. -Experience in spectroscopy and imaging is an asset. -Strong programming skills in Python
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Candidates must hold a PhD in the history of science, history, or art history. A solid background in the analysis of primary sources, particularly those related to the history of astronomy, mathematics, or art