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. Data from social media, or data on similar events in other countries, may also be used. This will involve (i) formatting and analyzing the data, (ii) developing a mathematical model of the propagation
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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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22 Nov 2025 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique de Grenoble Research Field Engineering Computer science Mathematics Researcher Profile First Stage
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strong computational and mathematical skills, and experience working autonomously with large AI models and big dataset. We publish in computer science conference, interdisciplinary journals, and social
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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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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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. Skills and requirements PhD in Oceanography or equivalent Expertise in coastal ocean dynamics and modeling Proficiency in programming, with a minimum requirement of Fortran and Python Excellent English
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The successful candidate will hold a PhD in applied mathematics, and will have knowledge of PDE discretization methods such as finite elements, finite volumes, etc. Practical knowledge of at least one programming
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Stuttgart to work and exchange with the DLR team involved in the project. - PhD/Post-Doc in the field of economic modelling/simulation of energy systems. - Interest in the energy transition and in
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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