Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Nature Careers
- Université Grenoble Alpes
- Université Savoie Mont Blanc
- CEA
- Center for Immunology of Marseille-Luminy (CIML)
- Ecole Centrale de Lyon
- IMT Mines Albi
- Sorbonne Université
- Universite de Montpellier
- Université de Caen Normandie
- Université de Strasbourg
- 3 more »
- « less
-
Field
-
(FSTM) 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
-
, MATLAB) - Mathematical modeling - Data analysis - Scientific writing in English ### Personal Qualities - Ability to work in a team - Scientific rigor - Autonomy - Excellent communication skills Website
-
), funded by the ANR (French National Research Agency), https://projet-anr-reach.math.cnrs.fr/ The host laboratory will be the Center for Analysis and Social Mathematics (CAMS https://cams.ehess.fr/ ), CNRS
-
Is the Job related to staff position within a Research Infrastructure? No Offer Description The main mission is to develop quantitative approaches to dimensionality reduction for the analysis
-
21 Nov 2025 Job Information Organisation/Company CNRS Department Laboratoire Paul Painlevé Research Field Mathematics History » History of science Researcher Profile First Stage Researcher (R1
-
: Analysis, Numerical Analysis, and Scientific Computing (ACSIOM), Didactics and Epistemology of Mathematics (DEMA), Probability and Statistics (EPS), and Geometry, Topology, and Algebra (GTA). - main mission
-
. - Solid experience in large-scale biodiversity data analysis and the use of statistical models. - Strong writing and communication skills. - Flexibility and adaptability. - Rigorous and self-motivated
-
typically work with datasets of up to several TBs depending on the case study); - Autonomy to conduct independent analysis and research on our (GPU/CPU) servers, familiarity with coding frames in machine
-
glands of patients with Sjögren’s Disease. The successful candidate will focus on the analysis of transcriptomics datasets (spatial transcriptomics datasets using Visium HD, Xenium, and CosMx technologies
-
the framework of the ANR EmergeNS whose aim is to understand, through mathematical and computer models, the role that autocatalysis, multistability and spatial heterogeneity may have played in the emergence