Sort by
Refine Your Search
-
by the CNRS, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical
-
7 Sep 2025 Job Information Organisation/Company CNRS Department Conditions Extrêmes et Matériaux : Haute température et Irradiation Research Field Chemistry Physics Technology Researcher Profile Recognised Researcher (R2) Country France Application Deadline 27 Sep 2025 - 23:59 (UTC) Type of...
-
here is the prediction of the composition of communities of marine entities (zooplankton, marine snow particles, and coral reef fishes) from environmental data taken around the point of the biological
-
small portion of the tumor. Once the diagnosis is made, few criteria are available to predict treatment efficacy. Cancer therapies increasingly rely on biological and morphological criteria
-
techniques during ex vivo testing and during monitoring of the animal's response to material integration should provide sufficient data to enable the construction of predictive tools. Currently, experimental
-
lactate, offering a unique insight into biochemical activity within tumor tissue. The joint exploitation of these two modalities could significantly improve the prediction of tumor progression, but requires
-
and numerically predicting the infiltration of the final matrix by CVI. To this end, X-ray tomography acquisitions will be performed; the images will then be analyzed and processed to produce (i
-
organ transplantation. HLA-Epicheck is a predictive model of the antigenicity of polymorphic amino acids on the surface of HLA antigens, relying on dynamic structural data. Four tasks are identified. Task
-
data in order to predict the effects of ionizing radiation on living matter and to contribute to the development of innovative radiotherapies. These developments are carried out within a multi-scale
-
Theory of Large-Scale Structure (EFTofLSS)—to include the effects of massive neutrinos and non-standard dark matter, validate theoretical predictions against simulated datasets, forecast expected