Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- CNRS
- Inria, the French national research institute for the digital sciences
- Nantes Université
- European Synchrotron Radiation Facility
- Institut Pasteur
- Nature Careers
- Sorbonne University, IMPMC-UMR 7590
- Universite de Montpellier
- Aix-Marseille Université
- CNRS UMR6614 CORIA
- Centrale Lille Institut
- Centrale Supelec
- Ecole Centrale de Lyon
- Ecole Centrale de Nantes
- INRIA
- IRIG
- Inserm UMR-S 1250
- LEM3
- Sorbonne Université, CNRS, Inserm
- cnrs
- 10 more »
- « less
-
Field
-
investigate deep learning architectures capable of learning microstructure-property mappings, including convolutional neural networks for microstructure image analysis, graph-based representations
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 months ago
Traitement du Signal et des Images, 2023. Douté, S., Forbes, F., Borkowski, S., Meyer, L., Heidmann, S., 2024. Massive analysis of multi-angular images by inverse regression of reflectance models
-
Rennes (Brittany) Surface viscosity is a fundamental property of fluid interfaces: it quantifies their resistance to deformation and controls many physical and industrial processes. It plays a key role in
-
a joint research unit (University of Rennes and CNRS) with 150 staff, including 60 researchers and lecturers, specialising in the study of geological and environmental processes. Keywords: Optically
-
lining of blood vessels— which plays a central role in the development of vascular diseases. Blood vessels further complicate this picture through their complex geometries, featuring diameter variations
-
other labs will be developed for comparison with other techniques and computer IRIS Lab for analyses of the 3D mapping by IA models References [1] A. Kiełbasa, K. Kowalczyk, K. Chajec-Gierczak, J. Bała
-
learning, deep learning, and LLM-based methods to multimodal clinical datasets e.g. EHR, imaging, omics, sensor data Designing and implementing NLP pipelines for clinical text processing, semantic annotation
-
of expensive evaluations required for prediction and optimization. A classical approach is co-Kriging (Kennedy--O'Hagan), which models the high-fidelity response through an autoregressive Gaussian process (GP
-
heritage, materials science, and physics. Supported by 19 countries, the ESRF is an equal opportunity employer and encourages diversity. Context & Job description Thesis subject: Sub Nanosecond Imaging
-
optical techniques fail. At low void fractions, in the homogeneous and dilute regimes, techniques such as laser Doppler anemometry, hot-film anemometry, particle image velocimetry, particle tracking