107 learning positions at CNRS

PhD Thesis (M/F) Transverse Santé : Deep learning approaches for the analysis of NMR spectra applied to schizophrenia

in the field of medical imaging. The team particularly studies the potential of machine learning methods for an efficient and relevant representation of medical data such as images. The challenges

Foundation Models for Physics-Aware Deep Learning (M/F)

in the center of Paris. He/She will integrate the MLIA team (Machine Learning and Deep Learning for Information Access) at ISIR (Institut des Systèmes Intelligents et de Robotique). MLIA is

DEVELOPMENT OF NEW APPROACHES BASED ON DEEP LEARNING FOR REAL-TIME CONTROL OF ADAPTIVE OPTICS (M/F)

classical workflows with an advanced RTC platform that would embark hardware dedicated to AI workloads together with new data-driven deep learning methodologies and several corresponding computing hardware

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

APPLICATION OF DEEP LEARNING METHODOLOGIES TO REAL-TIME CONTROL OF ADAPTIVE OPTICS (M/F)

1 Jun 2024 Job Information Organisation/Company CNRS Department Laboratoire d'études spatiales et d'instrumentation en astrophysique Research Field Astronomy Astronomy » Astrophysics Astronomy » Cosmology Researcher Profile First Stage Researcher (R1) Country France Application Deadline 21 Jun...

Thesis "Physics of Distributed Learning Dynamics in a Swarm of Mobile Robots" (M/F)

swarm of robots when the parameters of behavioral policies are set through learning after the deployment of the swarm. The originality of this thesis lies in the fact that we consider the case where

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

PhD Position (M/F) - Physical Learning Using Nanocomponents

. However, the use of memristors has been primarily limited to inference, with their potential for learning largely untapped due to several technical challenges. This thesis aims to address the challenges