Sort by
Refine Your Search
-
regional ocean/ice/biogeochemistry models (OBMs) applied to Arctic coastal seas, the properties of terrigenous sediments are rarely integrated into physical and biogeochemical processes. To address this gap
-
vegetation dynamics, carbon cycle processes, or climate–biosphere interactions. • Familiarity with benchmarking frameworks for ecosystem and climate models. Website for additional job details https
-
of errors between model predictions and post-operative reality This work will be carried out by the Biomécamot team (https://www.timc.fr/BiomecaMot ) at the TIMC laboratory, which is part of the CNRS's
-
; apply the developed methodology to complex heterostructures The postdoctoral researcher will be recruited within the Chemical Theory and Modelling team (http://www.quanthic.org ) of the Institute
-
electrogravimetric response. To do this, we will implement a multi-stage approach, combining the development of model electroactive materials, their physico-chemical characterisation, and the advanced exploitation
-
selectivity and permeability and ultrahigh water permeability combined with high salt rejection. The objective of this work is to construct atomistic models of MOFs/Polymers and Artificial Water-Channel
-
20 Dec 2025 Job Information Organisation/Company CNRS Department Institut de physique de Rennes Research Field Engineering » Materials engineering Physics » Acoustics Researcher Profile First Stage
-
of the BioDLab joint laboratory between Michelin and the Clermont-Ferrand Institute of Chemistry (ICCF), which studies the abiotic and biotic degradation of elastomeric tire materials. Indeed, during a
-
modeling and power components with large gap and/or ultra-large gap materials. - Demonstrate an aptitude for teamwork and collaborative project work, in particular through previous experience of active
-
, or metabolic diseases. More specifically, BMBI coordinates one of the four Target Priority Projects of PEPR MEDOOC (https://www.pepr-medooc.fr ) (2025–2030), focused on the organ-on-chip modeling of metabolic