Sort by
Refine Your Search
-
Listed
-
Employer
- Nature Careers
- IRIT, Université de Toulouse
- CNRS
- Inria, the French national research institute for the digital sciences
- The American University of Paris
- Université de Technologie de Belfort-Montbéliard
- Université de Toulouse
- Aix-Marseille Université / CNRS
- BRGM
- Bioptimus
- CEA
- FEMTO-ST institute
- Grenoble INP - LCIS
- ICMMO
- IRISA
- Institut Curie - Research Center
- Laboratoire National de Métrologie et d'Essais - LNE
- University of Avignon
- Université Côte d'Azur
- Université Grenoble Alpes
- Université de Caen Normandie
- École nationale des ponts et chaussées
- 12 more »
- « less
-
Field
-
properties changes. - The demonstration of the tear detection with machine learning classification applied directly on S-parameters of the MWI system without solving the inverse problem. The objective
-
. Advances in AI, especially NLP and machine learning, open new opportunities to automatically extract and structure security knowledge, and to provide intelligent, interactive support to practitioners
-
, CNRS, I3S, Sophia-Antipolis, France) Collaboration: Luca Calatroni (Luca.calatroni@unige.it), Machine learning Genoa Center, Italy. Context and Post-doc objectives Conventional optical microscopy
-
. The objective of this thesis project is to develop hybrid models that integrate electrochemical principles with machine learning techniques to analyze data from electrolyzers, predict performance, assess lifespan
-
of accessible tools for engineers who are not trained in cybersecurity. Recent progress in artificial intelligence, especially in natural language processing and machine learning, creates new opportunities
-
of accessible tools for engineers who are not trained in cybersecurity. Recent progress in artificial intelligence, especially in natural language processing and machine learning, creates new opportunities
-
machine learning approaches to integrate single cell and spatial analysis in order to identify molecular signatures and pathways underlying radiation-induced effects. Collaboration: Work in close
-
single micro-sphere of frozen water. This bulkiness presents a significant limitation, and the emission has no directional control. This PhD thesis will build on a decade of research into novel laser
-
of and experience with hydrological and/or hydrogeological modeling - Knowledge of and experience with AI concepts (machine learning, deep learning, and PINNS) and/or digital twin development - Experience
-
techniques for data storage/retrieval/processing/visualization on large scale. Cybersecurity Software engineering Machine/deep learning Technical aspects of human computer interaction (HRI, multi-modal