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of proof assistant technology capable of understanding the dynamical linguistic structures found in current high-level mathematical texts. The project includes the study of interpretation mechanisms
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, machine learning and turbulence modeling. The researcher must hold a Phd in fluid mechanics / Applied mathematic / Machine Learning. Website for additional job details https://emploi.cnrs.fr/Offres/CDD
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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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). Knowledge : PhD in ecological modelling, statistics, mathematics, geographical projections. Fluency in English (written, read and spoken). Transverse skills : Project management, Methodology and analytical
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FieldComputer scienceYears of Research ExperienceNone Research FieldMathematics » AlgorithmsYears of Research ExperienceNone Additional Information Eligibility criteria -- PhD in computer science or applied
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collaborations, working with multiple stakeholders at the intersection of applied mathematics, computer science, and physics applications. You have excellent communication skills, both written and oral, in both