Sort by
Refine Your Search
-
understanding its internal structure. Interpreting these geophysical data to model planetary structure and dynamics depends on understanding the physical properties of materials under relevant pressure and
-
project aims to develop model vitrimer systems produced in powder form (at the CP2M laboratory) and to understand the fundamental mechanisms of stress-assisted sintering, a central process for achieving
-
on the plants Arabidopsis thaliana will generate maps of depolarization, retardance, dichroism, and optical axis azimuth, which will feed machine learning models developed by the project partners to identify
-
experiments on mouse models (force-feeding, intraperitoneal injections, blood sampling, oral and faecal microbiota sampling), behavioural tests, post-mortem neuropathological evaluations, biochemical analyses
-
Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Deep learning models, and in particular large language
-
spectrographs with various spectral resolutions, operating from 0.5 to 28 µm. Our group has developed the Bayesian modeling tool FORMOSA (Petrus et al. 2023). It allows the inference of low-resolution (R = λ/Δλ
-
such as Euclid poses many modeling challenges. The COLIBRI ERC aims precisely to develop new theoretical and numerical tools to overcome one of these challenges: baryon modeling. The CDD will have two
-
throughput genomics that informs advanced numerical analysis methods (modeling, statistics, machine learning). Plankton encompasses all organisms roaming with marine currents. Those organisms are responsible
-
. Their tasks will include: 1. Creating an age model for the collected sequences and, based on the results, selecting the sequences to be analysed. 2. Collecting and performing the planned sedimentary geochemical
-
Description The researcher will use modeled surface ocean microplastic abundances and improved sea-spray-based emission functions to represent ocean–atmosphere transfer processes. Using the GEOS-Chem global