Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Location: The PhD will begin at the PROMES laboratory in
-
of the landscape over time. The LANDIS-II forest landscape disturbance and succession model will be used to perform simulations based on palaeoecological data. The student will collaborate with project researchers
-
. This PhD project aims to achieve three main objectives: (i) Identify, using empirical data, the determinants of floral induction and flowering effort; (ii) Develop an evolutionary model of masting based
-
chemistryYears of Research Experience1 - 4 Additional Information Eligibility criteria The candidate must have a PhD in computational chemistry, ideally in material and/or surface science. Experience in modelling
-
source of information for the next IPCC Assessment Report (AR7). The proposed PhD is part of this context and will directly support the French contribution, using the Elmer/Ice model, to ISMIP7
-
astrophysics. The goal of this PhD is to contribute to the theoretical efforts in this field, to advance our understanding of the acceleration processes from first principles, and to model their phenomenological
-
26 Aug 2025 Job Information Organisation/Company CNRS Department Institut Lumière Matière Research Field Physics Researcher Profile First Stage Researcher (R1) Country France Application Deadline 15
-
data sets, for example in searching for pulsars, FRBs, as well as PTA analyses. We have the flexibility to adapt the scientific direction of this PhD position to the profile of the student(s). Depending
-
project is to develop the next generation of solar jet propagation models from the lower atmosphere to the inner heliosphere, and to allow a direct comparison with real in-situ data of the early solar wind
-
Description The person hired for this position will work within the context of the French Océan et Climat program, particularly in the AI data challenges part of the project https://www.ocean-climat.fr/Le-PPR