Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- CNRS
- Nature Careers
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- IRIT, Université de Toulouse
- Aix-Marseille Université
- CEA
- The American University of Paris
- Université Grenoble Alpes
- Université de Technologie de Belfort-Montbéliard
- Université de Toulouse
- École nationale des ponts et chaussées
- Aix-Marseille University
- American University of Paris;
- Arts et Métiers Institute of Technology (ENSAM)
- BRGM
- CEA-Saclay
- Consortium Virome@tlas
- Ecole Centrale de Lyon
- Ecole Normale Supérieure
- Ecole polytechnique
- FEMTO-ST institute
- FRANCE ENERGIES MARINES
- French National Research Institute for Sustainable Development
- ICMMO
- IMT MINES ALES
- INSERM U1183
- IRISA
- Institut Curie - Research Center
- Institut of Mathematics of Marseille
- LE STUDIUM LOIRE VALLEY INSTITUTE FOR ADVANCED STUDIES
- Laboratoire National de Métrologie et d'Essais - LNE
- Laboratoire de Physique des Interfaces et des Couches Minces (LPICM), UMR CNRS/École Polytechnique,
- NIMES UNIVERSITE
- Nantes Université
- Observatoire de la Côte d'Azur
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- UNIVERSITE PARIS CITE
- University of Lille
- University of Paris-Saclay
- Université Côte d'Azur
- Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO
- Université Marie et Louis Pasteur
- Université Paris-Saclay (UPS)
- Université Paris-Saclay GS Mathématiques
- Université Savoie Mont Blanc
- Université d'Artois
- Université de Caen Normandie
- Université de Lorraine
- Université de Montpellier
- École Normale Supéireure
- École Normale Supérieure
- 42 more »
- « less
-
Field
-
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
-
, 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
-
Machine/Deep learning and classification Knowledge of the Linux operating system for using a computing cluster Interest in transdisciplinarity and teamwork Autonomy and scientific rigor Website
-
machine learning. We particularly value depth of knowledge, originality, and the potential for cross-disciplinary innovation. Relevant application areas may include (but are not limited to) natural
-
of the art data science approaches (text mining, machine learning, AI) to comprehensively highlight yet undiscovered virus/host/environment relationships and annotate potentially putative new spillover
-
(History, Archeology, …). Expected skills: The candidate should have a graduate degree (Master 2 degree). His/her scholar background should include: • statistical/machine learning, statistical inference
-
properties are optimized by machine learning algorithms to retrieve properties of reference flames gathered in a learning base. A virtual scheme consists of a main block that models the heat release from
-
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
-
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
-
laboratory team is likewise highly recognized for its research in computer vision and neuro-inspired artificial learning. Both teams have been collaborating for four years on projects at the interface between