Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Institut Pasteur
- Inria, the French national research institute for the digital sciences
- CNRS-LMA
- ENS
- Ecole Normale Supérieure
- European Synchrotron Radiation Facility
- Grenoble INP - Institute of Engineering
- INSA Rouen Normandie
- INSERM
- Luxembourg Institute of Health (LIH)
- Université Bourgogne Franche-Comté
- Université Savoie Mont Blanc
- Université de Bordeaux / University of Bordeaux
- Université de Caen Normandie
- Université de Limoges
- 6 more »
- « less
-
Field
-
of quantitative methods (statistics, modelling, data analysis) and related tools (R, Python, QGIS/ArcGIS…); • Ability to develop and work with composite indices and indicators (risk indices) at different temporal
-
aerosols. - Visualization and post-processing tools: Proficiency in visualization tools (e.g., Python) and data post-processing tools to analyze simulation results and generate graphs, maps, and diagnostics
-
cognitive science, cognitive psychology, developmental psychology, or ethology is expected. Proficiency in a programming language (e.g., Python, Java), as well as in data analysis (e.g., R, MATLAB), will be
-
). Additional skills: Written and spoken English; Python programming. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5129-MARCLO-110/Default.aspx Work Location(s) Number of offers
-
, and skills in C, Java or Python/SageMath are a plus. Good writing and communication skills are requested, together with the ability to work independently as well as in a team. A good English level is
-
ExperienceNone Additional Information Eligibility criteria PhD in Earth/environmental sciences/remote sensing with applications in AI Linux, Python, good command of English Additional comments Nothing to mention
-
experimental physics, nanofabrication, low temperature measurements, THz optics, Python programming would be an asset. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UPR2940-ELOBER-173
-
analyze multi-omic data provided by our collaborative partners and interpret the results from a biologically relevant perspective. Planned activities include Python code development, the analysis and
-
hold a Ph.D. in materials physics or scientific imaging, with proven experience in spectral imaging techniques (e.g., software such as Python, R, HyperSpy) and/or synchrotron techniques (luminescence, UV
-
(PIT-tags, hydrophones, geophones, etc.). 2) Modeling and data analysis: - Proficiency in GIS tools (QGIS, ArcGIS) and hydraulic modeling software (HEC-RAS, TELEMAC, Mike). - Advanced programming (Python