Sort by
Refine Your Search
-
Category
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Université Grenoble Alpes
- Grenoble INP - Institute of Engineering
- IMT Mines Ales
- University of Luxembourg
- Université de Caen Normandie
- CEA
- CNRS-LMA
- Ecole Normale Supérieure
- European Synchrotron Radiation Facility
- INSA Rouen Normandie
- INSERM
- Institut de l'Audition/Institut Pasteur
- Le Mans Université
- Luxembourg Institute of Health (LIH)
- Sorbonne Université
- Télécom Paris
- University of Caen Normandie
- Université Savoie Mont Blanc
- Université de Bordeaux / University of Bordeaux
- Université de Limoges
- 12 more »
- « less
-
Field
-
neuroscience, cognitive science, experimental psychology, or a closely related discipline. They should have prior experience with the computational modelling of human behaviour and/or human neuroimaging (ideally
-
international conferences. - PhD in plasma physics or related field. - Demonstrated knowledge of basic plasma physics. - Experience in developing analytical models and software development. - Documented
-
expertise in data analysis and statistical modelling. Where to apply E-mail [email protected] Requirements Research FieldPsychological sciences » Cognitive scienceEducation LevelPhD or equivalent
-
FieldEngineering » Materials engineeringYears of Research Experience1 - 4 Additional Information Eligibility criteria Knowledge of physical and/or mathematical modelling; Knowledge of differential equations
-
scienceYears of Research Experience1 - 4 Research FieldEnvironmental science » Global changeYears of Research Experience1 - 4 Additional Information Eligibility criteria Knowledge / Skills - Atmospheric modeling
-
are not fully integrated into the exploration of subsurface exploration workflows due to data resolution limitations and challenges in modeling. This knowledge gap limits our understanding of resource
-
, heterogeneous catalysis, and kinetic modeling. Knowledge of the working environment: - The candidate (M/F) must have experience in laboratory work and collaborative projects. Savoirs faire opérationnels
-
quantify intraspecific and interspecific interactions, taking into account environmental, spatial and temporal variation. TASKS: The work is based on data analysis and modelling approaches. An initial phase
-
The successful candidate will contribute to the development of a new generation of 3D-printed biomimetic materials designed to model the human intestine in vitro, as part of the BAM-INT project. The project aims
-
learning, epigenomic data, and mechanistic modelling. The mission is to contribute to the development of predictive models of the replication initiation probability landscape (IPLS) from limited experimental