Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Nature Careers
- IMT - Atlantique
- Université Grenoble Alpes
- Aix-Marseille Université
- IMT Mines Albi
- Télécom Paris
- Universite de Montpellier
- Université Savoie Mont Blanc
- Université de Strasbourg
- CEA
- CY Cergy Paris University
- Center for Immunology of Marseille-Luminy (CIML)
- Ecole Centrale de Lyon
- Ecole Normale Supérieure
- Ecole Normale Supérieure de Lyon
- Ecole Polytechnique
- European Magnetism Association EMA
- FRANCE ENERGIES MARINES
- Fondation Mathématiques Jacques Hadamard
- Fondation Sciences Mathématiques de Paris
- INSERM U1183
- Institut des Hautes Etudes Scientifiques
- Institut des Hautes Études Scientifiques
- Institut of Mathematics of Marseille
- Region Bretagne
- Sorbonne Université
- Université Côte d'Azur
- Université de Caen Normandie
- l'institut du thorax, INSERM, CNRS, Nantes Université
- 21 more »
- « less
-
Field
-
://lapth.cnrs.fr ): LAPTh is a mixed research unit (UMR) of CNRS and Université Savoie Mont Blanc (USMB). Its scientific activities span cosmology and astroparticles, particle physics, and mathematical physics
-
l'institut du thorax, INSERM, CNRS, Nantes Université | Nantes, Pays de la Loire | France | 26 days ago
LevelPhD or equivalent Research FieldMathematicsEducation LevelPhD or equivalent Skills/Qualifications Must hold a Ph.D. degree in Mathematics / Computer science or Machine Learning. • Be able to work within
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
7 Oct 2025 Job Information Organisation/Company Inria, the French national research institute for the digital sciences Research Field Mathematics Researcher Profile Recognised Researcher (R2
-
» CosmologyYears of Research ExperienceNone Additional Information Eligibility criteria A working knowledge of mathematical methods for cosmology is essential. The CDD ( who will have between 0 and 6 years
-
. FORMATION ET COMPÉTENCES Minimum level of education and/or experience require PhD in engineering or mathematics and automation or equivalent, obtained within the last three years Essential skills, knowledge
-
Mathematics, Computer Vision, or Data Science. -Knowledge of statistical inference methods and machine learning. -Experience in spectroscopy and imaging is an asset. -Strong programming skills in Python
-
mathematical problems with equilibrium constraints Knowledge of simulation/modelling and development tools - MATLAB, Python and mathematical programming language Experience with optimisation solvers would be
-
, seismology, geophysics or a relevant scientific field Have extensive experience in Bayesian statistics, mathematical optimisation and parallelisation of calculations Be familiar with ground motion analysis
-
for astronomical or mathematical reasoning within the astral sciences. Large-scale study of these materials requires fine-grained automatic analysis of their content, which is often disconnected from their visual
-
., computational, mathematical, or mechanistic modeling) is essential. The candidate should demonstrate the ability to critically evaluate scientific literature, integrate experimental data into models, and