Sort by
Refine Your Search
-
Listed
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- IMT Atlantique
- Nature Careers
- Institut Pasteur
- École nationale des ponts et chaussées
- CNRS - Observatoire de Paris-Meudon
- Centre de recherche en Automatique de Nancy
- ESRF - European Synchrotron Radiation Facility
- Ecole Nationale des Ponts et Chaussées (ENPC)
- Ecole Normale Supérieure
- Ecole Polytechnique
- French National Research Institute for Agriculture, Food, and the Environment (INRAE)
- IMT - Institut Mines-Télécom
- INSA Rouen Normandie
- Institut Agro Rennes-Angers
- LAUM UMR CNRS 6613
- Mines Paris-PSL
- Sorbonne Université SIS (Sciences, Ingénierie, Santé)
- Télécom Paris
- UNIVERSITE D'ORLEANS
- University of Rouen Normandy
- Université Grenoble Alpes
- Université de Montpellier
- Université de Strasbourg
- fluiidd
- École polytechnique
- 17 more »
- « less
-
Field
-
team (https://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed
-
processing, neuromorphic engineering, or a closely related field. A solid background in machine learning is expected, with interest or experience in spiking neural networks, temporal modeling, or bio-inspired
-
, and/or multiphysics modelling • Mathematics & AI: Numerical analysis, inverse problems, neural networks, scientific machine learning • Programming: Python (scientific computing, ML), preferably C
-
French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Montpellier, Languedoc Roussillon | France | about 1 month ago
with skills in statistics and modelling through machine learning (Agronomy joint research unit, MIA joint research unit, Wageningen University & Research); (ii) national and international laboratories
-
analyses of declustered catalogs will quantify background seismicity changes, a sensitive proxy for stress evolution on the fault. Machine learning approaches will be used to characterize empirical
-
models will then be developed by integrating radiomic features with clinical variables, including the KELIM score, mutational status (BRCA/HRD), and pathological parameters. Machine learning methods
-
Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 2 months ago
modules leveraging deep learning for classical problems such as segmentation and 3D object tracking interfacing machine learning code and the robot using ROS2 contributing to the creation of datasets
-
). Require skills Strong background in communication networks and wireless/satellite systems; Knowledge of machine learning and optimization techniques; Experience with simulation tools (Python, MATLAB, ns-3
-
Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 2 months ago
machine learning, 3D visualisation and real-time images (augmented reality). The main robot will the Tiago++, by PAL Robotics, which is a modern omnidirectlonal, bimanual robot. With the help of a PhD
-
on computer vision and machine learning techniques, that evaluates video recordings of human movements providing them with a normalized score of functional capacity. However, we lack objective information about