Sort by
Refine Your Search
-
Program
-
Employer
-
Field
-
through measurements in an acoustic tank on plate and cylinder models. - Development of analytical and numerical methods to describe the coupling of vibroacoustics in heavy fluids and thin structures
-
alternatives that can partially or completely replace dyes of fossil origin is their microbial production. Despite the multiple advantages compared to plant and animal dyes (e.g., non-competition with food
-
discourse and its evolution based on the different categories of anti-Jewish hostility identified by the team through interviews with students; - Use this analysis to help rework these categories; - Cross
-
multidisciplinary research project aimed at developing polybodies – molecules with multiple recognition sites (peptides, haptamers) to target cellular receptors. These assemblies will then be evaluated in in vitro
-
analyses based on statistical methods consider two measurement occasions. Yet, changes of self-reported outcomes over time are often assessed over multiple time points. In this context, the trajectory
-
Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 24 days ago
the PEPR Future Networks , and its PERSEUS project. PERSEUS focuses on the technologies, processing and optimization of next-generation cellular cell-free networks. This includes the development of robust
-
development for 3D characterization of crystal shapes: - An existing thermal-optical-microscopy stage should be modified/improved allowing observation of the crystals along multiple axes, and thus the 3D
-
a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Development of image analysis for "single molecule Fluorescence In Situ Hybridization (smFISH
-
nonlinear inverse Compton scattering and from extreme beam-multifoil collisions (eg in the E-332 experiment at SLAC). The project will include the development of advanced measurements and detectors
-
trigger reconstruction architectures for future particle collider experiments, based on deep learning models distributed across multiple hardware processing stages. The mission of this position, based