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? No Offer Description As a leading general engineering school of the IMT-Institut Mines-Télécom, France's leading group of engineering schools, IMT Atlantique's ambition is to accompany transitions
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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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applied mathematics, physics, computer sciences or social sciences with outstanding skills in quantitative methods ; - Provable experience working with social media data, specially very large datasets (we
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Professor Divi Cornec (head of the institute). Candidate profile and skills Applicants must hold a PhD with a solid background and a proven track record in bioinformatics and immunology. They should have
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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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date of employment : 12/01/2026 Proportion of work : full time Workplace : GMGM UMR 7156 Desired level of education : PhD Experience required : no lower limit, but no more than 2 years after the PhD
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Data-driven Modelling Transportation Planning and Network Design Your profile Hold a PhD in applied mathematics or engineering Strong analytical and numerical skills Knowledge of programming, either
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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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completed or are close to completing their PhD, and whose research interests align with the project’s focus, are especially encouraged to apply. The position is anticipated to start in September or October
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of scienceYears of Research ExperienceNone Additional Information Eligibility criteria The successful candidate will hold a PhD in applied mathematics, and will have knowledge of PDE discretization methods such as