60 machine-learning positions at CNRS in France

PhD contract: characterization of volcanic processes using continuous seismic data analysis and machine learning (M/F)

: - Apply unsupervised machine learning concepts to the analysis of continuous seismograms recorded in the vicinity of active volcanoes, in order to extract information about the state of the volcano and the

Researcher in " Spatial High-resolution Climate Downscaling through Generative Machine Learning" (M/F)

The development of statistical/machine learning approaches for downscaling at the kilometer scale will be the main mission of the position. For various climate variables (temperature, precipitation, wind, etc

Thesis (M/F) in multimodality spectro-imaging and machine learning methods for the bio-optical characterization of skin cancers

optics, biophotonics spectroscopy and imaging, instrumentation - Numerical signal/data processing and analysis (MATLAB) - Machine learning - Light-tissue interaction modelling - Very good level in English

M/W postdoctoral fellowship in molecular simulations, machine learning, and statistical mechanics

molecular simulations, machine-learning techniques, and statistical mechanics for research opportunities in: Development of data-driven schemes for the discovery of slow degrees of freedom Molecular

Postdoctoral position (M/F): Machine learning design of alloys for concentrated solar energy storage

mission will be to develop machine learning models to predict properties of alloys of elements of groups 1 to 15, such as their melting temperature, range, and enthalpy. Based on these predictive models

Postdoc M/F MACHINE LEARNING AND AUTOMATED INTERPRETATION OF GEOLOGICAL STRUCTURES

approach and framed as a continuous improvement process, and (3) on machine learning algorithms guided by theory and analogues from natural objects and simulations. The proposed position will cover four

PhD (M/F) Analysis of tree physiology in urban environments: modeling and machine learning using optical and radar imagery

experimental campaigns to acquire the data required for his thesis, as well as for the MONI-TREE project as a whole. The PhD will take place in LETG-Rennes, with expected missions to ONERA's Palaiseau for works

PhD (M/F) Study of behaviours predictive of well-being and school persistence

specialized in Technology-Enhanced Learning (TEL) and Human-Computer Interaction (HCI). In particular, SICAL has extensive experience in behavior analysis using multimodal data in different contexts, including

PhD Position in Physics (M/F)

professors, teacher-researchers, engineers, and doctoral students. The team is mainly involved in the PALLAS laser-plasma accelerator project. Optimizing Laser-Plasma Accelerators through Machine Learning The

Post-doctoral position (M/F) spatio-temporal data analysis

machine learning have transformed our approach to inverse problems in various fields, notably in medical imaging, enabling a deeper understanding of complex data structures. However, although sophisticated