Sort by
Refine Your Search
-
collaborate with ARCHIVES project partners to ensure coordinated progress and sharing of results. · Develop solutions combining numerical modeling, mathematical methods, and statistical/AI approaches
-
on studying the principles of neural computation through recurrent neural networks, dynamical systems theory, and machine learning. - Develop mathematical and computational models of neural networks - Analyze
-
. 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
-
well as next-generation ecological models that take uncertainty into account. The https://leca.osug.fr (LECA) is part of the University of Grenoble Alpes and the CNRS in France. Grenoble is located close to
-
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
-
), with collaboration from PhD students and external partners. The researcher will benefit from an active local community in AI and access to GPU computing infrastructure. Where to apply Website https
-
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
-
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
-
to contribute to the development of a regional, high-resolution (80 m) configuration of the global ECCO-Darwin model (Carroll et al., 2020; www.ecco-group.org ; https://darwinproject.mit.edu ). The selected