Sort by
Refine Your Search
-
. 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
-
FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria knowledge extraction, modeling and management; programming The expected profile is a candidate with a PhD Industrial
-
: 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
-
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
-
22 Nov 2025 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique de Grenoble Research Field Engineering Computer science Mathematics Researcher Profile First Stage
-
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
-
. 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
-
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
-
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
-
postdoctoral researcher position in theoretical cosmology. The position is dedicated to developing a robust and efficient framework that incorporates a broad range of neutrino and dark-matter models, assessing