Sort by
Refine Your Search
-
” focusing on the effect of a fluctuating environment on the collective dynamics of self-propelled agents, a numerical part on “reinforcement learning” focusing on optimizing communication between agents in a
-
instruments and high throughput genomics that informs advanced numerical analysis methods (modeling, statistics, machine learning). Plankton encompasses all organisms roaming with marine currents. Those
-
innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
-
Description Conduct a part of the ANR MetaTime (setting-up experiments, acquisition and processing of data, writing scientific reports) • Perform a review of the existing litterature on the topics • Acquire
-
. Creativity Cross-functional skills. Ability to learn new technologies/languages. Bibliographic monitoring Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5239-CHRCHA-003/Default.aspx
-
environment and a wide range of skills and knowledge to acquire on parasite biology. The University of Montpellier was founded in 1220 and is one of the oldest universities in the world. With over 50,000
-
experimental parameters (time, temperature). To optimize these parameters, active learning techniques based on Bayesian optimization will be applied. In situ or ex situ characterizations (FTIR, ¹¹B/¹H NMR, HP
-
. You don't need to be an expert in every field, but be prepared to learn about all aspects of the project. The candidate will be working within an international team, so fluent English is required
-
an expert on every subject, but be ready to learn on all aspect of the project. It is essential to have published scientific paper to apply. The candidate must have a strong appetite for experimental work