Sort by
Refine Your Search
-
Listed
-
Field
-
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Graphab is a graph-based software to model
-
key materials—generally nickel-based superalloys—that make up turbine blades with ceramic matrix composites (CMCs). These composites combine lightness, thermomechanical strength and damage tolerance
-
modelling of membrane contactors, with the aim of maximising their performance in terms of separation and energy consumption. The project will be carried out at the LRGP (Reactions and Process Engineering
-
FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria knowledge extraction, modeling and management; programming The expected profile is a candidate with a PhD Industrial
-
, machine learning and deep learning. The project Motivation: Interpreting the genome means modeling the relationship between genotype and phenotype, which is the fundamental goal of biology. Achieving
-
funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The researcher will use the ISBA land surface model developped at CNRM to study the
-
; 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
-
other type of approach (deterministic or stochastic) motivated by the nature of the data. Calibrate models based on data (data-driven modeling). Perform theoretical analysis of the models. Participate in
-
Information Eligibility criteria The candidate must hold a PhD in physics, chemistry, or materials science. Skills in theoretical modeling (ab initio, DF(P)T, GW) will be appreciated. The candidate will work in
-
melt than greenhouse gas emissions. - The high-resolution regional atmospheric chemistry-transport model CHIMERE will be used to understand the impact of terrain complexity and the spatial variability